Project Portfolio

Projects:

Lead Experience Designer, AUSYS Pty Ltd.

Description:
Co-founded AUSYS Pty Ltd., a UX & Product Design startup in Sydney, Australia. Led the design and development of SaaS products, focusing on user-centered design principles. Delivered UI/UX solutions for web applications across industries, including healthcare, hospitality, and legal. Developed websites with optimized SEO and digital marketing strategies tailored to business needs.

Roles and Responsibilities:

• Founded the startup and led the UX/UI design for SaaS projects.
  
  

• Designed and implemented user-centric web applications with a focus on usability and accessibility.
  
  

• Created and managed design systems, wireframes, prototypes, and high-fidelity mockups.
  
  

• Conducted user research, usability testing, and iterative design improvements.
  
  

• Delivered responsive, high-performance interfaces for web-based platforms.
  
  

• Mentored design teams and established scalable UI/UX workflows.
  
  

Technology Stack: Figma, Adobe XD, Sketch, InVision, HTML, CSS, JavaScript

Sr. Technical Manager UI/UX, 3i Infotech Pvt. Ltd.

Description:
Led UI/UX design initiatives for enterprise applications, collaborating with stakeholders, business analysts, and development teams. Designed data-driven dashboards and AI-powered user interfaces for clients in finance, law enforcement, and insurance. Implemented standardized UI frameworks across multiple platforms to ensure a seamless user experience.

Roles and Responsibilities:

• Led UX/UI design for enterprise software solutions.
  
  

• Designed interactive dashboards, AI-driven user interfaces, and automation workflows.
  
  

• Conducted user research, journey mapping, and persona development to optimize user experience.
  
  

• Worked on responsive and accessibility-compliant designs (ADA/WCAG standards).
  
  

• Managed Agile-based projects, ensuring efficient design and development collaboration.
  
  

• Engaged with high-profile clients, including DMCC, Dubai Police, and Future Generali.
  
  

Technology Stack: Figma, Adobe XD, Sketch, InVision, Jira, Confluence, HTML, CSS, JavaScript

Lead UX Designer, iTriangle Infotech Pvt. Ltd.

Description:
Designed and developed UX solutions for healthcare and insurance applications, focusing on claims processing, provider dashboards, and compliance-based interfaces. Worked on AI-powered UI components to enhance predictive analytics and data visualization.

Roles and Responsibilities:

• Designed B2B healthcare dashboards and AI-driven UX solutions.
  
  

• Developed wireframes, prototypes, and interactive designs for web-based applications.
  
  

• Conducted usability testing and heuristic evaluations to improve user workflows.
  
  

• Implemented design systems and component libraries for scalable UI elements.
  
  

• Collaborated with developers to ensure seamless frontend integration.
  
  

Technology Stack: Figma, Adobe XD, Sketch, InVision, HTML, CSS, JavaScript, AI-driven UI tools

UI Architect, Phenomtec Solutions Pvt. Ltd.

Description:
Worked on healthcare AI solutions and claims management systems, focusing on intuitive data visualization, patient portals, and predictive analytics interfaces. Standardized UX frameworks for cross-platform usability.

Roles and Responsibilities:

• Designed and implemented HIPAA-compliant UI/UX solutions.
  
  

• Developed interactive dashboards for healthcare analytics and claims adjudication.
  
  

• Created user personas, journey maps, and wireframes to improve workflows.
  
  

• Standardized UI frameworks and implemented responsive design best practices.
  
  

• Led design strategy, usability testing, and Agile-based project execution.
  
  

Technology Stack: Figma, Adobe XD, Sketch, InVision, HTML, CSS, JavaScript, AI-driven UI tools

Sr. Interaction Designer, Symphony Services

Description:
Worked on UX/UI design for travel and tourism applications, developing interactive interfaces for booking systems and enterprise travel solutions. Focused on user experience optimization and accessibility compliance.

Roles and Responsibilities:

• Designed responsive, user-friendly interfaces for web and mobile applications.
  
  

• Conducted usability research, A/B testing, and wireframing to enhance user engagement.
  
  

• Created intuitive navigation flows, layouts, and UI patterns.
  
  

• Ensured ADA/WCAG accessibility compliance for user interfaces.
  
  

• Provided heuristic evaluations and UX audits for platform improvements.
  
  

Technology Stack: Figma, Adobe XD, Sketch, InVision, HTML, CSS, JavaScript

https://www.behance.net/bobin

Skill Set

• Figma
• HTML,CSS
• UI/UX

Project Portfolio

Key Projects Highlights
AI-Based Email Folder Recommendation System
Project Highlights: An organization needs an AI-powered solution to suggest
appropriate folder names for incoming emails. Managing a large volume of emails
from various stakeholders and projects affects organizational productivity and
makes it challenging to archive relevant emails efficiently
I developed a non-parametric supervised solution to dynamically suggest folder
names for incoming Outlook emails, addressing the dynamic nature of

organizational requirements and user preferences. The non-parametric knowledge-
based supervised model incorporates user preferences over suggested labels,

dynamically adapting to propose new labels without requiring retraining. This
approach ensures flexibility and scalability for real-world applications with evolving
folder structures.
Role:
● I have worked as a Lead AI Developer
● My role is to implement
o Conducted a detailed analysis of a limited and imbalanced dataset,
formulating an unsupervised learning approach to address data
scarcity issues.
o Designed and implemented preprocessing pipelines, including
text cleaning and Named Entity Recognition (NER) to extract
meaningful metadata.
o Leveraged Sentence Transformers for embedding generation and
integrated Pinecone for vector storage and efficient similarity searches.
o Suggested correct folder names through search space optimization and
context-aware metadata filtering.

Tools Used:
Python, Sentence Transformer, Pinecone Vector Database, Named Entity
Recognition (NER), Non-Parametrc k-Nearest Neighbor (k-NN)

RAG-Based FAQ System for Intelligent Document
Project Highlights: I developed a Retrieval-Augmented Generation (RAG)-based
Intelligent Document Processing and Query System to streamline technical
document processing and enhance user query response capabilities. This system
processes technical PDF documents, extracts key metadata, and delivers accurate,
context-aware responses to natural language queries. By leveraging a RAG-based
architecture, the solution ensures efficient scalability, high performance, and
dynamic query handling for technical FAQs.

Role:
● Lead Developer: Directed the design and implementation of the RAG-based pipeline
for processing technical documents and generating FAQ responses.
● Designed a robust document processing system to extract and tag critical information
such as equipment names, domains, model numbers, and manufacturers from input
documents.
● Integrated ChromaDB vector database for efficient storage and retrieval of document
embeddings and metadata.
● Employed Sentence Transformers for generating vector embeddings of tagged
sections and user queries, enabling accurate cosine similarity search.
● Designed effective prompts to align user queries with retrieved document sections for
detailed and accurate responses.
● Utilized OpenAI GPT-4 API for generating coherent and contextually relevant
answers.
● Integrated AWS services, such as AWS Glue for data extraction and transformation,
and Amazon Bedrock for generative AI-based query processing.
● Deployed the application using AWS-hosted DevOps, ensuring scalability, reliability,
and cost-efficiency.

● Delivered an end-to-end Python application integrating document ingestion, vector-
based retrieval, and intelligent response generation.

Business Impact:
 Improved Query Resolution: Delivered precise and context-aware responses to
technical queries, enhancing user satisfaction and reducing manual effort.
 Scalability: Built a scalable architecture capable of processing and querying large
volumes of technical documents.
 Cost Efficiency: Leveraged AWS services for hosting and processing, optimizing
resource usage and reducing infrastructure costs.
 Performance Optimization: Improved system performance with lazy loading and
optimized embeddings for rapid query retrieval.
Tools and Technologies Used:
 Programming & Libraries: Python, Sentence Transformers, LangChain
 Vector Database: ChromaDB
 AI Models: OpenAI GPT-4 APIs
 AWS Services: AWS Glue, Amazon Bedrock, AWS DevOps
 Deployment: AWS-hosted infrastructure with CI/CD pipelines.

Collision Analysis in Toronto
Project Highlights: I contributed to the development of a machine learning-based Collision
Analysis System designed to forecast the survival chances of Killed or Seriously Injured
(KSI) victims in traffic collisions. This end-to-end system utilized historical Toronto police
records, combining robust data preprocessing, machine learning models, and a FastAPI
interface for real-time insights and seamless integration.

Role:
 Team Member: Collaborated with a multidisciplinary team to design and
implement a machine learning algorithm for survival chance prediction.
 Team Member: Collaborated with a multidisciplinary team to design and
implement machine learning models for survival chance prediction.
 Data Preprocessing: Cleaned and transformed police records, performing
feature extraction and addressing class imbalance to create a high-quality,
balanced dataset.
 Model Training and Tuning: Trained and fine-tuned models using Logistic
Regression, Support Vector Machines (SVM), and Decision Trees, employing
hyperparameter tuning and grid search for optimal performance.
 Model Evaluation: Conducted performance evaluation using precision, recall,
and F1-score to select the best-performing model for accurate survival
prediction.
 Production API Development:

Developed a FastAPI interface to expose real-time predictions via
RESTful endpoints, ensuring a scalable and production-ready solution.
Implemented asynchronous request handling for improved
performance and responsiveness.
 Deployment: Deployed the solution on GCP cloud infrastructure with
autoscaling support, ensuring high availability and low-latency API responses.
Tools and Technologies Used:
 Programming & Libraries: Python, NumPy, Pandas, Scikit-Learn
 Machine Learning Algorithms: Logistic Regression, SVM, Decision Trees
 API Development: FastAPI (Production-ready RESTful API with async support)
 Deployment: Hosted on GCP cloud infrastructure with auto-scaling and high
availability.

Skill Set

• API Testing using Postman
• GCP
• Python
• Sql

Project Portfolio

PROJECTS
Project 1: AI-Powered Product Recommendation System using Azure MLOps
Summary:
Developed a personalized product recommendation system for an e-commerce website using Azure MLOps.
The model leverages collaborative filtering, content-based filtering, and deep learning techniques to
recommend relevant products to users based on their browsing history, purchase patterns, and user
demographics. The entire ML lifecycle, including data ingestion, feature engineering, model training,
hyperparameter tuning, and deployment, is automated using Azure Machine Learning, Azure DevOps, and
CI/CD pipelines. The model continuously improves using real-time feedback and retraining mechanisms.
Technologies Used: Azure Machine Learning, Azure DevOps, Azure Blob Storage, Python, ScikitLearn,
TensorFlow/PyTorch, MLflow Responsibilities:
• Developed and deployed AI-based recommendation models using deep learning and traditional ML
techniques.
• Automated MLOps workflows for scalable and efficient model lifecycle management.
• Integrated the system with Azure DevOps CI/CD pipelines for continuous monitoring and
improvement.
• Designed scalable data processing pipelines to handle large-scale user behavior data.
• Optimized models for real-time recommendations with minimal latency.

Project 2: Marketing Data Transformation
Summary:
Built an automated solution for collecting and transforming marketing data from 50+ APIs. Designed a
scalable data ingestion process using Azure Function App to handle various data formats and prevent data

loss by archiving raw data into Azure Blob Storage. Implemented ETL pipelines in Azure Databricks for data
transformation and created external tables for efficient querying and reporting. This solution streamlined the
marketing analytics process and reduced data processing time significantly.
Technologies Used: Azure Function App, Azure Databricks, Azure Blob Storage, SQL Responsibilities:
• Designed and deployed Azure Function App for real-time data ingestion from multiple APIs with
fault-tolerant mechanisms.
• Engineered ETL pipelines in Databricks to clean, transform, and validate data across diverse formats
(JSON, CSV, XML).
• Configured Azure Blob Storage for secure and scalable storage of raw and processed data.
• Implemented advanced querying mechanisms using external tables to enable highperformance data
analysis.
• Developed monitoring and alerting systems to ensure the reliability and accuracy of the data
pipelines.
• Optimized ETL pipelines for scalability, reducing data processing time by 30%.
Project 3: Text-to-SQL Agent with Azure OpenAI
Summary:
Designed an intelligent text-to-SQL agent that enables users to convert natural language queries into
executable SQL statements. Leveraged Azure OpenAI and Llama Index to develop a system that simplifies
database querying for non-technical users, enhancing accessibility and productivity. The agent processes user
input in real time and translates it into accurate SQL commands, allowing seamless interaction with the
database.
Technologies Used: Python, Azure OpenAI, Llama Index, SQL

Responsibilities:
• Designed the architecture and built the core logic for natural language query interpretation using
Azure OpenAI APIs.
• Integrated Llama Index for efficient indexing and retrieval of structured database schema information.

• Developed backend algorithms to dynamically generate and validate SQL statements based on user
input.
• Enhanced the system's scalability to handle concurrent requests efficiently in real-time environments.
• Collaborated with database administrators to optimize SQL query performance and
security.
Project 4: Real-Time Customer Sentiment Analysis Using Azure AI
Summary:
Developed a real-time customer sentiment analysis system to monitor and analyze customer feedback across
multiple channels, including social media, emails, and customer support interactions. Leveraged Azure AI
services to process and classify text data, enabling businesses to identify trends, address concerns proactively,
and improve customer satisfaction.
Technologies Used: Azure Text Analytics, Azure Logic Apps, Python, Power BI Responsibilities:
• Designed and implemented a data pipeline to ingest real-time customer feedback from various sources
using Azure Logic Apps.
• Utilized Azure Text Analytics API to classify customer feedback into sentiment categories
(positive, neutral, negative).
• Built a real-time dashboard in Power BI to visualize sentiment trends and key metrics for business
stakeholders.
• Optimized the pipeline for scalability, ensuring consistent performance under high data volume.

• Incorporated NLP techniques to preprocess and clean textual data for accurate sentiment analysis.

Skill Set

• API Testing using Postman
• Azure
• Python
• Sql

Project Portfolio

Projects
Project A: Deployment of Banking Applica7on
Role: DevOps Engineer
Stack: AWS, ECR, ECS Fargate , S3 Bucket, Trivy, ALB, Route53, Cloudwatch,
Sonarcube, Jenkins, Github, Service Connec7on, Postgress
● Developed and deployed a fully automated infrastructure on AWS using Terraform,
provisioning resources like ECS Fargate clusters, ALB, S3 buckets, and Route 53
configuraBons. Ensured consistent, scalable, and reusable infrastructure across
development and producBon environments.

● Configured a Jenkins CI/CD pipeline integrated with GitHub to automate code builds,
Docker image creaBon, and deployment. Leveraged GitHub for version control and
webhook triggers, enabling seamless code integraBon and delivery across
environments.
● Automated Docker image creaBon from code changes, with Trivy integrated into the
Jenkins pipeline for image vulnerability scanning. Ensured secure deployment pracBces
by scanning images for vulnerabiliBes before storing them in Amazon ECR.
● Configured the pipeline to automaBcally push clean, scanned images to Amazon ECR
and deploy them to ECS Fargate. UBlized ECS service auto-scaling for applicaBon
reliability and resilience, adapBng to fluctuaBng traffic demands without manual
intervention.
● Set up CloudWatch for real-Bme monitoring and logging of ECS services and ALB
metrics, creaBng customized alarms and dashboards. Enabled proacBve incident
response with alerts and visualizaBon of key performance indicators across
environments.
● Integrated SonarQube into the Jenkins pipeline to perform staBc code analysis,
idenBfying potenBal code quality and security issues. Provided acBonable insights to
improve code quality and maintain high standards for socware releases.

Project B: Maxx Solu7on
Role: DevOps Engineer
Stack: Azure, Docker, Kubernetes, Terraform, Azure Devops, Azure Vm, Rke2, Zabbix, Helm etc.
● Designed, developed, and managed infrastructure resources on Azure using Terraform
scripts to automate and ensure consistent provisioning of resources like VMs, VNet,
and storage for both staging and producBon environments. Integrated RKE2 for
Kubernetes cluster deployment to enhance scalability and reliability.
● Containerized microservices with Docker and deployed them on Kubernetes (RKE2)
clusters in Azure. Implemented Helm charts for consistent applicaBon deployment
across environments, opBmizing the applicaBon’s scalability, resilience, and operaBonal
efficiency.
● Deployed and configured Windows VMs in Azure using Terraform, automaBng the
provisioning process for consistent resource allocaBon and configuraBon. Ensured
seamless integraBon with exisBng Azure infrastructure, supporBng both development
and producBon environments.
● Configured CI/CD pipelines in Azure DevOps for automated build, tesBng, and
deployment across development, staging, and producBon environments. Ensured rapid
and reliable socware releases to Kubernetes clusters, reducing manual intervenBon and
acceleraBng Bme-to-market.
● Implemented Zabbix to monitor infrastructure and applicaBon performance metrics,
providing real-Bme alerts for proacBve incident response. Configured alerts and

dashboards for Azure resources and Kubernetes metrics, enabling prompt idenBficaBon
and troubleshooBng of issues.
● Implement logging soluBons using Docker logging drivers and Kubernetes logging
mechanisms. Enable centralized logging and troubleshooBng of microservices.
● Established centralized logging for microservices using Azure Monitor, and Docker
logging drivers, enabling efficient troubleshooBng. Enforced security best pracBces
across Azure, Kubernetes, and Docker, including IAM roles, network security groups,
and access control policies to secure resources and ensure controlled access.

Project C: Slick Payroll
Role: DevOps Engineer
Stack: Azure Devops[pipeline], AWS VM , S3 Bucket, Route 53, Terraform, Vpc, Aurora-DB
● Architected and managed a robust CI/CD pipeline within Azure DevOps, uBlizing its
comprehensive suite of tools including repositories, boards, pipelines, and test plans.
This facilitated enhanced visibility, collaboraBon, and traceability throughout the
development lifecycle, ensuring efficient workflow management.
● Designed and deployed a fully automated infrastructure on AWS leveraging Terraform
to provision criBcal resources such as Virtual Private Clouds (VPCs), Route 53 for DNS
management, S3 storage accounts for arBfact storage, and Windows EC2 instances.
Implemented a systemaBc approach to infrastructure teardown post-tesBng to
opBmize resource consumpBon and minimize costs.
● Developed sophisBcated PowerShell scripts to automate configuraBon and applicaBon
deployment tasks on AWS Windows instances. Seamlessly integrated these scripts into
Azure DevOps pipelines to ensure consistent environment setups across both tesBng
and producBon stages, enhancing deployment efficiency.
● Implemented secure service connecBons in AWS to enable seamless integraBon
between external tools and AWS services. UBlized IAM roles and policies for
authenBcaBon and fine-grained access control, ensuring secure interacBons.
Streamlined CI/CD workflows by automaBng infrastructure provisioning and
deployments with AWS services. Enhanced security and operaBonal efficiency through
centralized management of credenBals and permissions.
● Integrated automated tesBng frameworks within Azure DevOps, employing Azure Test
Plans to execute test cases and validate applicaBon funcBonality. Configured the CI/CD
pipeline to automaBcally deploy validated builds to Windows servers on AWS,
facilitaBng conBnuous tesBng and rapid feedback loops.
● Implemented Prometheus for comprehensive monitoring of applicaBon and
infrastructure metrics, complemented by Grafana for intuiBve dashboard visualizaBon.
Established proacBve alerBng mechanisms to enable Bmely incident response, thereby
ensuring high availability and operaBonal resilience.
● UBlized Terraform in conjuncBon with Azure DevOps to automate the creaBon and
destrucBon of AWS environments, enhancing resource management and operaBonal

efficiency. Enabled the establishment of cost-effecBve tesBng environments that
dynamically scale according to demand and are promptly decommissioned post-tesBng
to miBgate unnecessary expenses.
Project D: Deployed a Kubernetes cluster from scratch on VM machines using VMware and
Vagrant by seYng up a control plane and worker nodes.
Role: DevOps Engineer
Stack: Kubernetes, VMware, Vagrant, Linux, Docker.
● Configured Kubernetes using YAML files to customize the cluster's sejngs, such as node
labels, pod toleraBons, and container resource limits.
● Created and deployed Docker images to the cluster using Kubernetes manifests and
kubectl commands.
● Managed Kubernetes resources such as pods, services, deployments, and replica sets
using kubectl commands.
● Configured Kubernetes networking using CNI plugins to enable communicaBon
between pods and services.
● Secured the Kubernetes cluster by applying RBAC rules, network policies, and TLS
certificates.
● Troubleshot issues related to the Kubernetes cluster by using kubectl commands, logs,
and events.

Project E: Associa7on Management Applica7on
Role: DevOps Engineer
Stack: Node, Docker, AWS, Azure, MySQL, Linux.

● Containerized the Employee Management ApplicaBon (EMA) using Docker for
consistency and portability.
● Created a VPC with two subnets for secure deployment of the EMA.
● Set up GitLab repository with development and producBon branches for version
control.
● Implemented CI/CD pipeline using GitLab-CI for automaBc builds, tests, and
deployments of EMA.
● Built a separate CI/CD pipeline for Nginx configuraBon changes.
● Customized Nginx config files in separate branches, tested using Docker containers, and
deployed to producBon using CD job.
● Provides a streamlined and automated workflow for deploying applicaBons and
managing infrastructure changes.

Project F: Matrix Interna7onal
Role: DevOps Engineer
Stack: AWS, Ansiable, Salt Stack, Linux, Gitlab.
● Successfully transiBoned the enBre infrastructure management from Salt Stack to Ansible,
ensuring minimal downBme and seamless integraBon.
● Conducted thorough tesBng and validaBon to ensure all configuraBons and automaBon scripts
were accurately translated to Ansible.
● Developed modular and reusable Ansible roles to standardize and streamline the configuraBon
and management of servers and applicaBons.
● Enhanced role reusability and maintainability by following best pracBces for role structure and
leveraging role dependencies.
● Implemented Ansible Vault to securely manage sensiBve data such as passwords, API keys, and
other credenBals.
● Automated the encrypBon and decrypBon processes within playbooks to ensure secure
handling of confidenBal informaBon during deployments.

Other Exposures in DevOps
● Experience in Linux AdministraBon installaBon, ConfiguraBon, Tuning and Upgrades of
Linux.
● Implemented AWS Cloud PlaKorm and its features which includes EC2, VPC, EBS, AMI,
SNS, RDS, Cloud Watch, AWS Config, IAM, S3.
● Worked on Cloud based servers like AWS, GCP.
● Server provisioning, automaBon (Terraform), maintenance and perform tuning.
● Hands on Experience in installing and administraBng CI tools like Jenkins, Gitlab-CI
● Proficient with container systems like Docker and Container orchestraBon like
Kubernetes, ECS.
● Experience in deploying and making deployment automated for micro service
applications

Skill Set

• Azure
• CI/CD
• DevOps
• Docker

Project Portfolio

Projects:

Banking Platform

Description:
A comprehensive banking platform providing a holistic customer view and supporting multiple banking operations through dynamically configured React with TypeScript applications.

Roles and Responsibilities:
Role: Front-End Developer

• Developed dynamic banking application features using React with TypeScript.

• Implemented UI components ensuring responsiveness and accessibility.

• Integrated banking operations through API services.

• Developed micro-frontends for modular architecture.

• Implemented unit and integration tests using Jest & React Testing Library.

• Optimized performance using React. memo and lazy loading.

Technology Stack: React, TypeScript, Jest, React Testing Library, Redux, JSON-based dynamic configurations, Styled Components, Material-UI.

Covid-19 Global Dashboard

Description:
An analytics dashboard displaying global and Indian COVID-19 statistics using interactive charts and real-time data visualization.

Roles and Responsibilities:
Role: Front-End Developer

• Designed and developed an interactive analytics dashboard.

• Implemented real-time data visualization using Recharts & D3.js.

• Ensured accessibility and responsiveness using Material-UI.

• Wrote unit and component tests with Jest & React Testing Library.

Technology Stack: React, TypeScript, Jest, React Testing Library, Recharts, D3.js, Bootstrap, HTML, and CSS.

Shopping.ai

Description:
Shopper.ai is a customer science platform that offers a holistic customer view to e-commerce sellers, helping them target the right customers with personalized product recommendations.

Roles and Responsibilities:
Role: Front-End Developer

• Developed e-commerce UI components with React & TypeScript.

• Integrated APIs for personalized product recommendations.

• Implemented state management using Redux Toolkit.

• Developed unit tests and end-to-end tests using Jest & Cypress.

Technology Stack: React, TypeScript, Redux Toolkit, Jest, Cypress, React-Google-Charts, Material-UI, Styled Components.

EduSync Portal

Description:
An interactive e-learning platform designed for students and teachers to manage courses, assignments, and schedules effectively.

Roles and Responsibilities:
Role: Lead Front-End Developer

• Designed and developed modular, scalable UI components using React & TypeScript.

• Integrated RESTful APIs to fetch and display data dynamically.

• Improved performance through lazy loading and memoization.

• Implemented unit and integration testing using Jest & React Testing Library.

Technology Stack: React, TypeScript, Jest, React Testing Library, Redux, RESTful APIs, Material-UI, AWS.

Skill Set

• Android
• Angular
• Aws
• Bootstrap
• C#
• Express
• HTML,CSS
• JavaScript
• jQuery
• Nodejs
• React
• React Native
• Reactjs
• redux
• Spring Boot
• Tailwind CSS

Project Portfolio

Professional Experience

1. Ticketech Mobile POS
Duration: 2 Year

Seite 2

Tools Used: C# ASP.NET MVC & Rest API & Sql Server 2012,HTML5 , Twillo
Project Description: Ticketech next-generation Ultra software is ASP.NET MVC based, allowing
for maximum customization flexibility. Traditionally, parking operations
were centered where the parking occurred – in the garage or lot. Today,
with powerful mobile technology operating at full speed in the hands of
your parking customers, apps are influencing their decisions well in
advance of the transaction. Ultra’s interface capabilities power these
important connections to your parking customers. Our system’s secure
24/7 reporting capabilities, accessible from any browser-based system
through Ticketech online data center.
Create APIs For Mobile App.
Responsibility: Coding, Designing and Rest API
Team members: 2
Client: USA
URL: http://iosbackend.eastus.cloudapp.azure.com/

2. Ticketeck Backoffice
Duration: 1 year
Tools Used: C#,MVC,API’s,EntityFramework,HTML5,jquery,Highcharts,bootstrap

Project Description: Description:-it is a parking garage app with backend that Display all the
transaction occur in Ticketech app.Ticketech app is used for handling: -Track
request of user for retrieve the vehicle back(through Phone and Email) -
Handle Shift record
-Handle Attendant Punch-In and Punch Out.
-Handle Attendant Activities(Ideal Time And Busy Time)

Responsibility: Coding, Designing and Rest API.
Team members: 3
URL http://112.196.23.146:59995

3. Ticketech
Duration: 2 month
Tools Used: Umbraco CMS

Project Description: Ticketech website is created for the End Users, this website is controls from

the admin panel, we will change images , content of website according to
the

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needs from the admin panel.This website Login will connect with the all
projects of ticketech projects(Valet Parking,Dashboard,mobile POS
Admin Panel) .

Responsibility: Designing
Team members: 2
URL http://test.ticketech.com/

4. Thedivinetribe
Duration: 2 month
Tools Used: Nop Commerce CMS

Project Description: Thedivinetribe is Ecommerce Website related to online shopping, We are
managing all the project from the admin panel.We have a 4-5 slider for
display collections ,Products and travel with the tribe page,we are managing
the shipping charges of projects from the admin panel,all content of website
manage from admin panel.
Responsibility: Admin Panel, Sliders, Product View
Team members: 1
URL https://www.thedivinetribe.com/

5. Drill Inventory
Duration: 1 Year
Tools Used: HandsonTable, jquery, HTML5, Asp.netMVC and sql server 2012

Project Description: Drill Inventory website is working as Excel. In this website , I used the
Third party tool name of the handson table, this project has filters
functionality same as Excel.
Responsibility: Frontend backend both
Team members: 1

6. KiniMatrix
Duration: 6 Month

Seite 4

Tools Used: Rest API,Asp.net MVC,Jquery

Responsibility: Frontend
Team members: 1

7. SQL Server to MySQL Server Conversion
Duration: 8 Month
Tools Used: Converted Compass sqlserver database to mysql server
1. Imported tables data with help of DBBest Compare suit
Tool 2. Convert trigger sql server to mysql server (800
Approx).
3. Convert Views sql server to mysql server (400 Approx).
4. Convert store Procedure Sql server to mysql server (100
Approx) Now I started work on the Frontend into asp.net core

Responsibility: Import data , Import trigger,Import Views,
Team members: 1

8. Expedite
Duration: 2 Year
Project Description From this administration center you can take control of Expedite
Transcription Services data. Several tools have been provided to help you
manage your site and make it more useful to your business.
● Dictations: Manage Dictations
● Groups: Add/edit/delete Groups
● Authors: Add/Edit/Delete Authors
● Transcriptionists: Add/Edit/Delete Transcriptionists

● Users: Manage web administrative users

Tools Used: 1. Asp.net core 2.2
2. Sql server
3. REST API in asp.net core 2.2
4. Amazon services like S3 Bucket.
5. Window Services

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Responsibility: Web Application , REST API, Understand Client Requirement
Team members: 1
Url https://app.expedite-transcription.com/

9. DiSellCo (Germany)
Duration: 2 Year
Project Description DiSellCo (Windows Forms Application) is the ERP platform that
successfully developed over the last 15 years – especially for use in
direct sales and network marketing companies as well as for
associations and clubs. Forever Living Products (FLP) is also using this
platform.
Technologies used: VB.NET, .NET Framework 4.7, MS SQL,
Infragistics Tools, Web Services, Crystal Reports

Tools Used: 1. VB.net

2. Sql server 2015
3. REST API in asp.net core 2.2
4. Window Form
5. Sql jobs

Responsibility: Web Form , REST API, Understand Client Requirement, manage Jira Ticket

and Scrum planning

Team members: 12

10. DiSellCo (Germany)
Duration: 1 Year
Project Description DiSellCo is the ERP platform that successfully Convert into Asp.net

core Technology.
Technologies used: As.net core, Azure web services, Azure Bus
services, Power BI.

Tools Used: Asp.net Core 6.0 ,
Sql server 2015 ,
REST API in asp.net core 2.2,
Microsoft Azure Bus Services,
Microsoft Power BI.

Responsibility: Web Form, REST API, Understand Client Requirement, manage Jira Ticket

and Scrum planning

Team members: 6

Seite 6

11. AveriSource
Duration: 1.8 Years
Project Description AveriSource Transform to automate 95% of legacy code rewriting,
converting outdated systems into modern applications in Java/C#,
reducing manual coding efforts and accelerating project timelines.

Tools Used: Asp.net Core 8.0 ,
Sql server 2020 ,
REST API in asp.net core 8.0,
Microsoft Azure Bus Services, jhipster, react.js,SAML Auth, WindowAuth

Responsibility: Web Form, REST API, Understand Client Requirement, manage Jira Ticket
Team members: 5

Skill Set

• .NET
• API Testing using Postman
• Azure
• Sql

Project Portfolio

Projects:

Backend for Scalable E-commerce Platform
Description:
Developed a robust and scalable backend system for an e-commerce platform using Node.js. The platform handles user authentication, order processing, product management, and payment transactions. The system is designed to handle high traffic, providing a smooth user experience even during peak times.

Roles and Responsibilities:
Role: Backend Developer (Node.js)

• Developed the core backend of the platform using Node.js, ensuring efficient handling of requests and data processing.

• Designed and implemented RESTful APIs for managing products, orders, and user accounts.

• Integrated secure payment gateways for smooth and safe transactions.

• Ensured data integrity by implementing strong validation and error-handling mechanisms.

• Managed and optimized database interactions using MongoDB to ensure high performance under load.

• Developed custom middleware for user authentication and role-based access control.

• Worked closely with the front-end team to integrate backend APIs seamlessly with the front-end interface.

• Implemented logging, monitoring, and performance optimization techniques to ensure system reliability.

Technology Stack: Node.js, Express.js, MongoDB, RESTful APIs, JWT, JavaScript, Git.

Banking Platform
Description:
Developed the backend for a comprehensive banking platform, supporting multiple banking operations and offering a holistic customer view through a dynamically configured system.

Roles and Responsibilities:
Role: Backend Developer (Node.js)

• Developed backend services and RESTful APIs for various banking operations such as transactions, balance checks, and customer management.

• Integrated security measures such as encryption and two-factor authentication for sensitive banking operations.

• Optimized database queries to handle high traffic and ensure quick data retrieval.

• Collaborated with the front-end team to integrate the backend with React-based banking apps.

• Implemented logging, monitoring, and automated alert systems to ensure system reliability and uptime.

Technology Stack: Node.js, Express.js, MongoDB, RESTful APIs, JWT, JavaScript, Git.

Covid-19 Global Dashboard
Description:
Developed the backend of an analytics dashboard that tracks and displays global and Indian COVID-19 spread using counts, tables, and charts.

Roles and Responsibilities:
Role: Backend Developer (Node.js)

• Designed and implemented APIs to retrieve and serve real-time COVID-19 data from external sources.

• Processed and optimized large datasets for efficient storage and retrieval.

• Ensured proper error handling and data validation to ensure the accuracy of the dashboard.

• Integrated third-party data sources with the system to fetch global and country-specific COVID-19 statistics.

• Implemented caching to improve performance when handling large volumes of requests.

Technology Stack: Node.js, Express.js, MongoDB, RESTful APIs, JavaScript, Git.

Shopping.ai
Description:
Developed the backend for Shopper.ai, a customer science platform that provides e-commerce sellers with valuable insights for targeting the right customers with the right products at the right time.

Roles and Responsibilities:
Role: Backend Developer (Node.js)

• Developed backend services for customer data analysis and segmentation.

• Implemented API integrations with e-commerce platforms to gather customer insights.

• Worked on optimizing database performance using MongoDB and implementing data analytics pipelines.

• Collaborated with the front-end team to integrate backend data seamlessly with the customer-facing platform.

• Ensured high availability and fault tolerance in the backend system to handle large amounts of customer data.

Technology Stack: Node.js, Express.js, MongoDB, RESTful APIs, JavaScript, Git.

EduSync Portal
Description:
Designed and developed the backend for an interactive e-learning portal that helps students and teachers manage courses, assignments, and schedules.

Roles and Responsibilities:
Role: Lead Backend Developer (Node.js)

• Led the development of dynamic back-end components to handle course, assignment, and user data.

• Designed and implemented RESTful APIs to facilitate real-time data synchronization across various modules.

• Optimized backend performance by using indexing and caching mechanisms for faster data retrieval.

• Collaborated with the front-end team to ensure seamless integration of APIs with the user interface.

• Worked on cloud deployment and scalability of the portal using AWS infrastructure.

Technology Stack: Node.js, Express.js, MongoDB, RESTful APIs, AWS, JavaScript, Git.

Skill Set

• Android
• Angular
• API Testing using Postman
• Application Programming Interface (API)
• Aws
• Bootstrap
• C#
• Express
• firebase
• HTML,CSS
• JavaScript
• jQuery
• Nodejs
• React
• React Native
• redux
• Spring Boot
• Tailwind CSS
• Unix/Linux
• Webpack5

Project Portfolio

Project Details
Project Profile#1: Worldbank
Project Domain Content Management

Team Size Project : 10

Environment
(with skill
versions)

Languages & Scripting Engine: Java, Jquery,HandleBars, HTML,Sling
Models,Junit,Mockito , JSP

Content Management System: AEM 6.5
Framework Modules: OSGI
Tools Eclipse

a) Project Description
The World Bank Group works in every major area of development. We provide a wide array of financial products
and technical assistance, and we help countries share and apply innovative knowledge and solutions to the challenges they
face

b) Contribution
 Involved in design and implementation of components, templates
 Developed various custom component xtypes
 Created various migration tools to copy content from live to AEM sites, which will reduce authoring effort
 Worked on SPA project integration with Angular
 Worked on AEM modules like Experience Fragments, Content Fragments, Editable Templates
 Worked on custom components like header, navbar, grid layout components.
 Worked on various API integrations like projects, charts with AEM
 Created various charts using highcharts plugin.
 Working on dynamic loading scripts on loading of web page
 Involved in deployment process to all type of environments
 Involved in client meeting to discuss about the project requirements
 Involved in working SCR Annotation Migration to OSGI R6 annotations.
 Involved in defect fixes
 Tested across all the environments.
 Defect tracking and supporting the QA team in testing.

Project Profile#2: CPFB
Project Domain Content Management

Team Size Project : 12

Environment
(with skill
versions)

Languages & Scripting Engine: Java, Jquery,HandleBars, HTML,Sling

Models,Junit,Mockito
Content Management System: AEM 6.3 & 6.5
Framework Modules: OSGI
Tools Eclipse

a) Project Description
CPF was established in 1955 to help workers save for their retirement. Since then, it has evolved to meet the
needs of each new generation of Singaporeans.

b) Contribution
 Involved in design and implementation of components, templates
 Worked on Custom Console Like DashBoard for authors using Bootstrap.
 Involved in AEM Code Upgradation from WCMUsePojo To Sling Models.
 Involved in AEM version migration from 6.3 to 6.5
 Involved in working SCR Annotation Migration to OSGI R6 annotations.
 Invloded in Writing Test Cases Using PowerMockito and Junit4
 Worked on components like header, footer, carousel components.
 Involved in requirement and design phase
 Tested across all the environments.
 Defect tracking and supporting the QA team in testing.

Skill Set

• AEM
• QA

Project Portfolio

PROJECTS
E-commerce Platform with Scalable Microservices Architecture
APRIL 2020 - JANUARY 2025
• Designed and developed a scalable microservices-based e-commerce platform,
handling millions of transactions with high availability.

• Architected data models for efficient product catalog management, optimizing query
performance by 30%.
• Built and managed data pipelines for data cleaning, transformation, and
manipulation using AWS Glue, Apache NiFi, and Apache Airflow.
• Developed RESTful APIs for user authentication, order processing, and fraud
detection, improving security and compliance with PCI-DSS & PSD2.
• Integrated third-party payment gateways with risk management protocols, ensuring
seamless and secure transactions.
• Utilized AWS (API Gateway, Lambda, S3, EC2, Glue, Step Functions) for a serverless
architecture, improving system scalability and reducing operational costs.
• Developed Power BI dashboards to track business KPIs, enhancing stakeholder
decision-making.
• Automated CI/CD pipelines with Jenkins, ensuring zero-downtime deployments and
improving release cycle efficiency.
• Led a cross-functional team, collaborating with stakeholders to gather requirements
and improve business outcomes.
Real-Time Analytics Dashboard for Business Intelligence
2018 - MARCH 2020
• Designed and developed a real-time analytics dashboard to track key business KPIs,
empowering stakeholders with data-driven decision-making.
• Implemented data modeling, manipulation, and cleaning techniques to ensure high
data accuracy (99.9%) in business reports.
• Developed interactive dashboards with dynamic filters and drill-down capabilities
using Power BI.
• Built data ingestion pipelines using Apache NiFi, AWS Glue, and Lambda, enabling
seamless real-time data processing.
• Developed high-performance APIs for querying large datasets, using
MySQL/PostgreSQL optimizations, indexing, and caching.
• Integrated AWS Quicksight for real-time business intelligence reporting, reducing
data analysis turnaround time by 70%.
• Automated cloud infrastructure provisioning using Terraform, ensuring scalable and
repeatable deployments.

• Utilized Agile methodologies (SCRUM, Kanban) for backlog prioritization, sprint
planning, and velocity tracking, improving project delivery timelines.
• Collaborated with cross-functional teams and stakeholders to define business
objectives, leading to a 20% increase in operational efficiency.

Skill Set

• Aws
• Data Engineer

Project Portfolio

Project Details:

Project Title: Invest Punjab , PBLabour
Client: Velocis Pvt. Ltd.
Url: https://pbindustries.gov.in
Role: Senior Software Developer

From: Apr 2020 To: now Duration: 8 months
Description: Punjab State Govt. Project to provide various clearances to Investors

2

Team Size: 3 (Module Team)
Responsibilities: • Coordinated with business analysts for gathering requirement of

new development
• Built scalable data solution using Nodejs
• Elicited process flow requirements through high level design

Environment: Nodejs, Web API, jQuery, Angular 14

Project Title: Plexe LLC
Client: Simon Cuce
Url: https://plexe.co/
Role: Senior Software Developer
From: Apr 2022 To: Jan 2023 Duration: 9 months
Description: This project is a loyalty points product of Plexe LLC.

By using web application or API, end users or providers can use their
loyalty points to purchase services like Financial Management etc. based
on their requirements.
Team Size: 4 (Module Team)
Responsibilities: • Coordinated with business analysts for gathering requirement of

new development
• Built scalable data solution using .NET Core API
• Elicited business requirements through high level design
• Engaged in deployment activities using deployment framework and
Git

2
• Assigned task and reviewed code for team members (3 persons)
• Engaged in writing unit test cases using XUnit
• Engaged in branch merge process, whenever it’s necessary

Environment: .NET Core, Web API, jQuery, Angular 10, xUnit

Project Title: POS eCommerce
Client: Confidential
Url: https://www.pistis.com.mx/
Role: Senior Software Engineer
From: Nov 2021 To: Apr 2022 Duration: 5 months
Description: Ecommerce Site for sale purchase of Items. Developed using web Api’s,

Angular, Sql server Database

Team Size: 10

2
Responsibilities: • Coordinated with business analysts for gathering requirement of

new development
• Built scalable data solution using .NET Core API
• Elicited business requirements through high level design
• Engaged in deployment activities using deployment framework and
Git
• Assigned task and reviewed code for team members (5 persons)
• Engaged in writing unit test cases using XUnit
• Engaged in backgroud service development, which is used to share
the Webhook on client’s FTP
• Engaged in branch merge process, whenever it’s necessary
Environment: .NET Core, Web API, jQuery, Angular 10, MS SQL Server

Project Title: Sales Man (Mobile App)
Client: Israr Assi
Url: https://play.google.com/store/apps/details?id=com.erp.salesman.israr
Role: Senior Software Developer
From: Jul 2018 To: Nov 2021 Duration: 2.5 years
Description: Using this app you can work on Offline and Online for Data
Management. This is a Product based app. We are providing following
services in Data Synchronization, Mobile printing wireless service

Team Size: 2

2
Responsibilities: • Engaged in development, debugging, and troubleshooting of the

application throughout its life cycle
• Elicited business requirements through high-level design
• Developed application using .NET Core
• Engaged in deployment activities using IIS
• Involved in task assignment and code review of juniors
• Involved in writing unit test cases for the API using XUnit
• Engaged in creating backgroud jobs, which send mail/ sms to
customer on particular period of time

Environment: .NET Core, Web API, jQuery, Angular 5/ 8,Ionic

Project Title: BAR CMS
Client: Israr Assi
Role: Software Engineer
From: Mar 2016 To: Jul 2018 Duration: 2.4 years
Description: This is a Content Management System for Lawyer Consoles that
is used to show the market price related to steel industries. Here
we used an Paytm payment gateway to buy a subscription to
use this application. In this application we used retrofit library
for third party Api integration and we do json parsing in it.

Team Size: 2

2
Responsibilities: • Engaged in development, debugging, and troubleshooting of the

application throughout its life cycle
• Gathered requirements from business analyst
• Developed modules based on requirements using Web API,
Elasticsearch, and Azure Blob Storage
• Engaged in deployment activities on IIS
• Involved in solving bugs, which we are getting from the client side
• Involved in managing documents on blob storage
• Involved in frontend development part using Angular 5 for providing
dynamic UI

Environment: WEB API, Angular 5, SQL Server, Azure Blob storage

Skill Set

• Angular
• Asp dotnet
• Azure
• Sql