Project Portfolio

CONFIDENTIAL
Jul 2024 – Present

• Engineered an AI-powered parent–school matchmaking assistant using LangChain, FAISS, Azure
OpenAI, automating ~60% of queries and reducing response time by 65%.
• Developed website & AI Chatbot for student FAQs (LangChain + OpenAI API) → enabled instant
responses on courses, fees, and admissions, improving parent engagement by 30%.
• Performed EDA & feature engineering on parent–school interaction data → identified key drivers
of school selection for data-driven insights.
• Applied MLOps best practices (MLflow, Docker, Kubernetes, CI/CD) for scalable AI/ML
deployments.
• Collaborated with business stakeholders to translate requirements into scalable, real-time AI
solutions.
Key Projects:
• RAG Q&A Chatbot (EdTech): AWS Bedrock + LangChain + FAISS → improved response
efficiency by 70%.
• OCR Invoice Automation (Finance): Python + EasyOCR → reduced manual entry by 80%.
• Customer Churn Prediction (Telecom): Fine-tuned BERT → achieved 85% accuracy, reducing
churn by 18%.
• Automatic Number Plate Recognition (Smart City): YOLOv5 + OCR pipeline → real-time
detection and structured logging.
System Engineer – Infosys Ltd.
Pune | Feb 2020– Jul 2024
Responsibilities:
• Developed automation solutions using Python & AssistEdge to optimize workflows.
• Built and maintained OCR pipelines for unstructured data (PDF, Excel, Web).
• Supported AI/ML PoCs in OCR and NLP with cloud deployments on AWS & Azure.
• Partnered with business teams to integrate automation into core operations.
Key Achievements:
• Automated PDF/Excel/Web workflows, saving 200+ hours per month and reducing manual effort
by 30%.
• Improved OCR extraction accuracy by 20%, reducing downstream errors.
• Supported NLP automation PoCs, enabling faster AI adoption within enterprise workflows.
• Delivered measurable efficiency improvements for back-office operations.

Intern – CodeRize IT Solutions LLP
Pune | Dec 2020 – Jun 2021

• Assisted in building automation scripts for client processes, reducing data entry time by 15%.
• Gained exposure to OCR and RPA workflows using Python.

Skill Set

• Aws
• Azure
• CI/CD
• Docker
• Kubenretes
• Python

Project Portfolio

Senior Data Engineer | Data Engineering & Fabrication (Client) | Remote
Project Name: In Mark Retail Analytics & AI Platform
Technologies Used: PostgreSQL, MySQL, Python (FastAPI, BeautifulSoup4),
SQLAlchemy, AWS RDS, S3, Lambda, Databricks, JWT, LangChain, pgBackRest
Description: Designed and implemented a retail analytics and AI recommendation platform
handling multi-terabyte datasets. Integrated a web scraping module using BeautifulSoup4 to
extract competitor pricing and inventory data, processed it, and stored the cleaned data in
AWS S3 for downstream analytics. Delivered real-time FastAPI microservices for
transactional operations and AI-driven recommendation workflows.
Responsibilities:
 Designed optimized PostgreSQL and MySQL queries, stored procedures, and
indexing strategies for analytical performance.
 Built asynchronous REST APIs using FastAPI and SQLAlchemy ORM for inventory
and customer insights.
 Developed web scraping jobs using BeautifulSoup4 to extract pricing and product
data from multiple retail websites
 Transformed scraped data into structured JSON and uploaded securely to AWS S3
using boto3
 Deployed scraping scripts via AWS Lambda for cost-efficient, scheduled execution.
 Leveraged LangChain-based LLM workflows to recommend personalized products
based on customer behavior
 Applied indexing, GIN indexes, and query tuning using EXPLAIN ANALYZE to
improve performance by 70%.
 Implemented row-level locking and isolation levels for ACID compliance.
 Developed LangChain-powered LLM workflows for AI-driven insights.
 Configured pgBackRest for backup automation and deployed AWS RDS read replicas
for fault tolerance and scalability..

Senior AI/Data Engineer using LLM and Rag Pipelines
Project Name: SmartLearn AI-Powered Learning Platform (MVP)
Role: AI Developer (FastAPI, LLMs, Vector Search)
Duration: 2022 - present
Technologies: Python, FastAPI, Pinecone, FAISS, Redis, PostgreSQL, Playwright,
Firecrawl, Claude/GPT/Gemini LLMs, Prometheus, Grafana, OpenTelemetry, Docker,
Kubernetes
Project Description:
Developed and maintained a scalable, real-time AI-driven learning platform to deliver
personalized lessons, tutor responses, and auto-grading feedback for globally distributed
learners. Implemented cutting-edge backend architecture, retrieval-augmented generation
(RAG) pipelines, semantic search, and vector database systems.

Key Responsibilities & Achievements:
 Architected and maintained FastAPI-based backend services to support real-time
lesson flows and AI tutor interactions.
 Designed low-latency APIs for real-time lesson delivery, tutor responses, and auto-
grading feedback.
 Implemented RAG pipelines with ingestion (web scraping via Playwright &
Firecrawl) and semantic retrieval (Pinecone, FAISS).
 Managed file ingestion workflows for PDFs, OCR, and web content, including
preprocessing and chunking pipelines.
 Implemented caching and memory persistence using Redis, Postgres extensions,
and hybrid vector DB storage.
 Designed secure, multi-tenant architecture to handle text, code, image, and voice
inputs globally.
 Built and optimized semantic search infrastructure for personalized lesson retrieval
with high speed and accuracy.
 Scaled vector database and caching systems for high throughput and low latency.
 Supported graph-based querying for evolving learner knowledge graphs.
 Managed LLM prompt orchestration pipelines, caching, failover, and evaluation
harnesses.
 Deployed and monitored production-grade LLM endpoints (Claude, GPT, Gemini,
Bedrock) with observability (Prometheus, Grafana, OpenTelemetry).
 Ensured global scalability with autoscaling, load balancing, and failover-ready
infrastructure.
 Collaborated with frontend and AI teams to integrate APIs, agent outputs, and
sandbox grading flows.
 Implemented real-time streaming APIs for AI tutor chat, voice interactions, and
sandbox grading.
 Leveraged AI coding copilots (Claude Code, Codex, Cursor) to improve
development velocity and testing.
 Achieved key latency, scaling, and security compliance targets in collaboration
with AI Lead.

Senior AI/Data Engineer | July 2022- Present
Project Name: AI-Powered Knowledge Assistant | Python, LLMs, RAG, AWS
Technologies Used:
 Programming & Frameworks: Python, FastAPI, TypeScript
 AI & ML: LangChain, OpenAI GPT, Sentence Transformers, RAG Pipelines
 Databases: Pinecone (Vector DB), PostgreSQL
 Cloud & DevOps: AWS (EC2, S3), Docker
 Tools: Git, VS Code, Postman, JIRA

Responsibilities: Python & AI Developer
 Designed and developed an end-to-end AI-powered knowledge assistant that
answers natural language questions using company-specific documents.
 Implemented RAG (Retrieval-Augmented Generation) pipeline using Python and
LangChain for accurate, context-aware responses.
 Generated text embeddings with Sentence Transformers and stored them in Pinecone
vector database for fast semantic search.
 Integrated OpenAI GPT models to provide intelligent, natural language answers.
 Built and exposed RESTful APIs using FastAPI for backend services to support
document upload and AI query handling.
 Developed a React + TypeScript frontend for chatbot-style user interaction.
 Deployed the solution on AWS (EC2, S3) with Docker for scalable and secure cloud
infrastructure.
 Collaborated with ML and product teams to optimize retrieval accuracy, latency, and
user experience.
 Implemented unit testing, logging, and documentation to make the system production-
ready.
 Achieved 90%+ answer relevance accuracy and reduced response latency by 45%
through caching and optimized search.

Senior Data Engineer | July 2022- Present
Project Name: FitStream IoT Analytics & Predictive Maintenance Platform
Technologies Used:PySpark, Delta Lake, Azure Data Factory, Databricks, Power BI
Description: Designed IoT analytics platform for predictive maintenance and anomaly
detection in industrial operations.
Responsibilities:
 Built Medallion architecture pipelines using Delta Lake for structured and
unstructured data.
 Designed PySpark jobs for anomaly detection and feature engineering.
 Integrated ML and LLM-based predictive models for maintenance alerts.
 Delivered Power BI dashboards for real-time performance insights.

Data Engineer | Spyguard Services | Nov 2019- July 2022
Project Name: In-Store Pickup (ISPU) Commerce Platform
Technologies Used:PostgreSQL, Python (FastAPI, BeautifulSoup4), SQLAlchemy, AWS RDS, S3
Description:Built an e-commerce backend with optimized PostgreSQL schema and high-
performance asynchronous APIs. Also developed a data scraping module using
BeautifulSoup4 to extract product and price data from competitor websites for pricing
intelligence, storing the results securely in AWS S3.
Responsibilities:

 Designed normalized PostgreSQL schema and implemented indexing and triggers for
optimal query performance.
 Developed RESTful async APIs using FastAPI and SQLAlchemy ORM for cart,
pickup, and order management.
 Built a Python-based web scraping utility using BeautifulSoup4 to extract competitor
pricing and availability data; transformed and uploaded structured results to AWS S3
using boto3
 Scheduled scraping jobs via cron and later migrated to AWS Lambda for serverless
execution
 Configured pgBackRest for regular backups and integrated AWS RDS read replicas
for improved availability.
Data Engineer Trainee | Spyguard Services | Nov 2019- July 2022
 Supported data warehouse implementations and assisted in building ETL processes on
Azure platforms.

Skill Set

• Aws
• Azure
• Fast API
• PowerBI
• Python
• Typescript

Project Portfolio

PROFESSIONAL EXPERIENCE
Consultant – AI/ML Engineer
PROJECT A | Pune, India | Oct 2021 – Present
 Designed and implemented enterprise-scale Generative AI and NLP solutions using Azure OpenAI and
LangChain for document automation and knowledge retrieval.
 Led a small AI engineering team, mentoring members on LLM fine-tuning, prompt optimization, and model
deployment best practices.
 Built and deployed RAG systems (LangChain, LangGraph, Pinecone) achieving 85% retrieval accuracy and
reducing manual search time by 70%.
 Managed production AI workflows, handling live performance monitoring, scaling, and issue resolution using
Azure Monitor and Prometheus.
 Collaborated with clients to define project goals, deliver technical presentations, and align AI solutions with
business objectives.
 Automated CI/CD pipelines for LLM deployment with Azure DevOps, enabling faster model iteration and A/B
testing.
 Ensured data compliance with secure AI governance frameworks (RBAC, audit logging).
Senior System Engineer – ML & Data Engineering
PROJECT B | Pune, India | Mar 2019 – Oct 2021
 Developed machine learning pipelines on Azure for classification, text analytics, and NLP-based data
intelligence.
 Engineered distributed training infrastructure using Databricks and PyTorch/TensorFlow for large-scale
datasets.

 Integrated Azure DevOps CI/CD to automate ML workflows and reduce deployment cycles by 40%.
 Partnered with clients and data teams to ensure successful AI delivery and performance SLAs.
Service Engineer – Automation
PROJECT C | Mumbai, India | Feb 2017 – Nov 2017
• Developed and maintained automation alert systems leveraging IoT sensors for real-time event detection and
response.
• Collaborated with cross-functional teams to integrate sensor data pipelines into centralized monitoring
dashboards, improving incident response accuracy and system reliability

Skill Set

• Azure
• CI/CD
• DevOps
• Python
• PyTorch

Project Portfolio

Projects

MontyCloud | Senior Data & ML Engineer
Tech Stack: Python, Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, SQL, NoSQL (MongoDB), AWS
(S3, EC2, Lambda, Glue, SNS, SQS, CloudWatch), Databricks, Treasure Data (CDP), dbt, Digdag,
Airflow, Tableau, Metabase, Docker
Role & Contributions:
● Designed and implemented end-to-end ML pipelines, covering data ingestion, preprocessing,
feature engineering, model training, and evaluation.
● Built scalable ETL and data pipelines using Airflow, Digdag, dbt, and AWS services to ensure
high-quality, reproducible datasets.
● Deployed ML models as serverless endpoints via AWS Lambda and API Gateway for
production-grade predictions.
● Developed real-time, event-driven data streaming solutions using SQS/SNS to support
continuous ML model updates.
● Automated data validation, quality checks, and lineage tracking to maintain pipeline
reliability.
● Created interactive dashboards and visualizations using Tableau, Metabase, Matplotlib, and
Seaborn to communicate insights.
● Collaborated with cross-functional teams to translate business requirements into technical ML
and data solutions.
● Conducted model evaluation, experimentation, and hyperparameter tuning to optimize
predictive performance.

Makaan | Senior Data & ML Engineer
Tech Stack: Python, Pandas, NumPy, Scikit-learn, Flask, PostgreSQL, Treasure Data (CDP), Airflow,
Redis, Celery, Docker, Shell Scripts, REST APIs, Tableau, Metabase
Role & Contributions:
● Designed and implemented predictive ML models to forecast property prices and investment
returns, improving data-driven decision-making.

● Developed fraud detection workflows using anomaly detection and transaction pattern
analysis, deployed via Flask APIs and Celery for background processing.

● Built scalable ETL pipelines with Airflow to process property, user, and financial datasets from
Treasure Data (CDP) and external APIs.

● Engineered PostgreSQL data models optimized for analytics, reporting, and ML model
training.

● Integrated Redis caching and Celery task queues for asynchronous model inference and
efficient background execution.

● Containerized ML and ETL components using Docker to ensure reproducibility and environment
isolation.

● Automated data ingestion and model retraining workflows using Shell scripts to maintain
up-to-date prediction accuracy.

● Collaborated with stakeholders to translate business objectives into actionable insights and
model performance reports.

Betrics.io | Data & ML Engineer
Tech Stack: Python, PySpark, Pandas, Scikit-learn, Django, PostgreSQL, AWS (S3, SNS, SQS), Celery,
Redis, Docker, Digdag, Airflow, Tableau, Metabase
Role & Contributions:

● Developed end-to-end ML pipelines using PySpark and Scikit-learn for real-time odds
prediction and outcome probability modeling.
● Built and optimized Django REST APIs to serve model predictions and manage transactional
data.
● Implemented AWS data lake architecture with S3 for storage and SQS/SNS for asynchronous
event-driven workflows and model retraining triggers.
● Deployed Celery + Redis task queues for parallel model inference, background processing,
and real-time notifications.
● Orchestrated Digdag and Airflow workflows for automated ETL, model evaluation, and
retraining cycles.
● Conducted feature engineering and data preprocessing on historical datasets to improve
predictive performance.
● Containerized ML and data services with Docker, ensuring consistent development, training,
and deployment environments.
● Maintained ML code quality and pipeline reliability through continuous integration checks.

Dashible | Data & ML Engineer (NLP Focus)
Tech Stack: Python, Pandas, NumPy, PyTorch, Sentence Transformers, FastAPI, MongoDB, Treasure
Data (CDP), Digdag, Airflow, Elasticsearch, AWS Lambda, Zappa, Shell Scripts, CI/CD (Bitbucket),
Tableau, Metabase
Role & Contributions:
● Developed NLP pipelines using Sentence Transformers to generate embeddings for semantic
search and retrieval.
● Built FastAPI microservices to handle user queries, retrieval, and AI-powered response
generation with low latency.
● Designed MongoDB data models for embeddings, metadata, and query logs to support
scalable semantic storage.
● Integrated Elasticsearch with vector search for similarity-based document retrieval and ranking
optimization.
● Automated data scraping, cleaning, and embedding refresh workflows using Airflow and
Digdag orchestration.
● Deployed models and APIs via serverless architecture (Zappa + AWS Lambda) for scalable,
cost-efficient inference.

● Implemented CI/CD pipelines in Bitbucket for testing, linting, and deployment of ML models
and services.
● Collaborated with the data science team to tune embedding models, improving semantic
retrieval accuracy.

Linework | Data & ML Engineer (MLOps Focus)
Tech Stack: Python, PySpark, Pandas, NumPy, Scikit-learn, AWS (Glue, Lambda, CloudWatch, S3),
Treasure Data (CDP), Docker, Kubernetes, Apache Airflow, GraphQL, MySQL, GitLab CI/CD, Tableau,
Metabase
Role & Contributions:
● Designed and deployed ML pipelines using AWS Glue and PySpark to analyze user behavior
and predict engagement.
● Developed recommendation models using collaborative filtering and user-item embeddings
for personalized content and product suggestions.
● Built GraphQL APIs integrated with model inference endpoints to deliver real-time
recommendations to applications.
● Implemented Airflow DAGs for automated ETL and ML retraining workflows using Treasure
Data and AWS S3 as feature stores.
● Containerized ML microservices with Docker and orchestrated deployments using Kubernetes
for production scalability.
● Applied data drift and anomaly detection with AWS CloudWatch and Lambda-triggered alerts
to maintain model accuracy.
● Collaborated with product teams to map KPIs into ML metrics and establish continuous
feedback loops.
● Managed CI/CD pipelines in GitLab for model versioning, testing, and automated deployment.

Skill Set

• Aws
• CI/CD
• Docker
• ETL
• Graphql
• Kubernetes
• Mysql
• Python
• PyTorch

Project Portfolio

HEALTH CARE MANAGEMENT SYSTEM

Role: - Data Engineer
Description: - Built a healthcare data hub for insurance policies by implementing Medallion Architecture
(Bronze → Silver → Gold). The platform ingested raw data from multiple sources into curated data
layers, ensuring data quality and enabling downstream analytics, dashboards, and compliance reporting.

ROLES AND RESPONSIBILITIES

• Developed Silver and Gold layer pipelines on Databricks applying business logic, standardization, and
validations.
• Built Delta Tables with data quality checks (PK/FK constraints, null checks, deduplication) to ensure
reliable curated data.
• Partnered with business stakeholders to validate metrics and align reporting definitions.
• Ingested raw data from APIs, RDBMS (Oracle, SQL Server), and flat files into Bronze layer (S3 + Delta).
• Orchestrated ETL workflows using Airflow & Databricks Workflows.
• Implemented Unity Catalog metadata tagging and lineage tracking for governance.
• Performed data modeling using Kimball methodology (facts/dimensions) for BI/Analytics.
• Collaborated with analysts to support dashboards and regulatory reports.
Key Technologies: Databricks, PySpark, SQL, Delta Lake, Unity Catalog, Airflow, AWS (S3, Redshift, Glue), GitHub,
Jenkins.

Project 2
CAPITAL DATA SERVICE

Role: - Data Engineer
Description: - I worked on a project called Capital Data services in the finance domain. CDC is a
comprehensive data architecture that involves data ingestion, transformation, business computations,
and reporting. The project focuses on ingesting data from various sources, performing specific
transformations, and storing it in Hadoop structures like Hive. This enables the business team to
analyze financial transactions, assess risks, ensure compliance, and make data-driven decisions.
ROLES AND RESPONSIBILITIES

• Involved in import data from various RDBMS into HDFS using JDBC & ODBC drivers.
• Perform Validations on Imported Data, and merge it with Existing Data.
• Designed both Managed and External Hive Tables and Defined static and dynamic partition
to optimize performance.
• I Worked with various File Formats like Text File, Sequence File, ORC Files, Avro Files. Written
Hive Queries to analyze data for our business need.
• Write Hive DDL to Create Hive Table for Optimize Query Performance.
• Create Spark jobs for data cleaning, processing.
Key technologies: Apache Hadoop, Hive, Apache Spark, JDBC/ODBC, HDFS, Sequence
Files, HiveQL, Data Partitioning, ETL Frameworks.

Skill Set

• Aws
• Data Engineer
• Spark

Project Portfolio

PROFESSIONAL EXPERIENCE

 Work on the design, development, and deployment of Generative AI solutions utilizing LLMs, particularly in RAG and Langchain
frameworks and created entity extraction solution for a large client.
 Lead an AI/ML Team to conduct quick POCs for the Identified Use Case to determine feasibility.
 Manage project timelines, deliverables, and communicate progress to stakeholders.
 Building efficient data pipelines using Cloud Data Fusion and different social channels (Facebook, Instagram channels, App data
etc.) as source and GCS/BigQuery as Sink.
 Implemented ETL processes to extract, transform, and load data from diverse sources, ensuring data quality and integrity.
 Developed and maintained Python and SQL scripts for automating data workflows and processes.
 Collaborated with cross-functional teams to understand data requirements and provide effective solutions.
 Monitored and troubleshooted pipeline failures, ensuring minimal downtime and data loss.
 Developing and maintaining scalable ML pipelines to ensure seamless integration and deployment of models.
 Continuously monitoring and optimizing ML pipelines for enhanced performance and reliability.

BHUWANESH

“Senior Data ngineer” at conĨidential August 2024 to Wresent

 Analyze, clean, process large datasets, including development data to extract meaningful insights and patterns. Develop different
predictive models and optimize them for better performance.
 Engage with Stakeholders to gather comprehensive project requirements and demonstrated strong communication skills in
translating needs into actionable plans.
 Perform data analysis and finding RCA of data related issues using Python and SQL.
 Build & Monitor models and data pipelines using MLFlow and Airflow.
 Build Data pipelines using Azure Data Factory with client and in-house data sources to data warehouse.
“Data Science Consultant” at TransUnion, December 2021 to April 2024
 Development of end-to-end machine learning models from scratch using Python, PySpark, and SQL.
 Writing PySpark queries to extract, manipulate and report data queries in Data Proc clusters.
 Building, maintaining and optimizing PySpark codes for data manipulation and transformations.
 Using Big Data technologies such as GCP/AWS for data wrangling, transformations, modelling and machine learning.
 Apply agile approaches and CI/CD for POC and product development using JIRA and Git.
 Working in Federated space, where building solutions that preserves data privacy yet build centralized models for all.
 Optimized Python and Spark SQL codes which reduced run-time by 30%.
 Developed Logistic Regression model from Scratch in using Python and SQL in multi-client Federated environment.
 Use of LLM (implementation design, prompting and orchestration) for multiple NLP tasks including Generative AI.
“Data Scientist” at Coforge, July 2018 to September 2021
 Development of end-to-end machine learning prototypes with aim to use the models in real time.
 Support and extend existing predictive models for marketing forecast, employee retention, churn prediction etc.
 Identification of areas and domains to apply data science skills using Python, SQL, SAS, Big Data, ML, DL & NLP.
 Strong skills in data manipulation, cleaning, exploratory analysis and statistical analysis.
 Prepare technical documentation, reports and presentation to effectively for both technical and nontechnical audience.
“Analyst” at Infosys BPM, Dec 2017 to July 2018
 Analytical design, execution & analysis of marketing campaigns with focus on Email, mail and calling channels.
 Visualization of complex data and analytical result using Tableau.
 Writing and execution of SAS and SQL code with the aid of SAS macros for filtration of data and sanity checks.
 Elaborated customer requirements for analytical design of UNICA campaigns.
 Generated data files after quality assurance testing and delivered to external vendors.
 *Improved retention rate by 14% in “CD Retention” campaign model in a POC for the client using Machine Learning.
“Data Analyst” at WNS Global Services, Nov 2015 to Nov 2017
 Data cleaning, extracting and loading using Python, SAS and SQL.
 Generating reports and visualizations based on client’s requirements.
 Maintain knowledge repository- documented end- to-end flow, and provided periodic updates.
 Building and maintaining data pipeline for automated Extraction and Transformation from UNIX server and Loading it to S3.
 Automated data loading on UNIX server using BASH script in CRON job and reduced overall processing time by over 95%.

Skill Set

• Python
• Sql
• Unix

Project Portfolio

Project Experience
1. CloudFood – Predictive Demand & Recommendation Engine
Role: Senior Data Scientist | Duration: Jul 2024 – Present
Tech Stack: Python, AWS SageMaker, XGBoost, PyTorch, Glue, S3, Redshift
● Designed and deployed predictive demand models for food orders using AWS
SageMaker.
● Integrated real-time forecasting APIs to improve order accuracy and reduce waste.
● Automated ETL workflows with AWS Glue to process millions of transactions daily.
● Used PyTorch models for personalized menu recommendations.
● Delivered insights dashboards via Power BI for demand trends and customer
segmentation.

2. AgroConnect – Crop Yield & Price Forecasting
Role: Data Scientist | Duration: May 2023 – Jun 2024
Tech Stack: Python, TensorFlow, AWS Lambda, Glue, Bedrock, Pandas
● Built time-series forecasting models for crop yield and pricing trends using
TensorFlow.
● Integrated Bedrock LLMs for weather-based advisory and market analysis.
● Designed ETL pipelines with AWS Glue to process agricultural data from APIs and IoT
feeds.
● Deployed Lambda-triggered batch predictions for regional analytics.
● Partnered with agribusiness teams to deliver actionable insights for farmers.

3. SmartBanking – Fraud Detection & Risk Analytics

Role: Machine Learning Engineer | Duration: Mar 2022 – Apr 2023
Tech Stack: Python, PyTorch, SageMaker, Kafka, PostgreSQL, Docker
● Built fraud detection ML models using PyTorch and Scikit-learn for anomaly detection.
● Created real-time data pipelines using Kafka and AWS Glue.
● Automated model retraining and A/B testing with SageMaker Pipelines.
● Used SHAP values for model explainability to compliance teams.
● Improved fraud identification accuracy by 18% with hybrid ensemble models.

4. EduLearn Portal – Learning Path Optimization using ML
Role: Data Scientist | Duration: Feb 2021 – Feb 2022
Tech Stack: Python, AWS SageMaker, Scikit-learn, FastAPI, MongoDB
● Developed predictive engagement models for student performance and dropout risk.
● Used FastAPI microservices to expose model endpoints to React-based dashboards.
● Integrated LLM summarization for generating personalized learning insights.
● Stored model results and metrics in MongoDB for analytics.
● Improved learning completion rates by 25% through adaptive recommendations.

5. HealthConnect – Predictive Healthcare Analytics
Role: Data Scientist | Duration: Aug 2020 – Jan 2021
Tech Stack: Python, TensorFlow, SageMaker, Redis, Power BI
● Trained deep learning models for disease prediction and treatment outcomes.
● Leveraged AWS SageMaker for model lifecycle management and deployment.
● Used Redis caching to reduce prediction latency by 40%.

● Delivered real-time dashboards with Power BI integrated to APIs.
● Ensured HIPAA compliance through secure access and data governance.

6. E-Shopper – Sales Forecasting & Customer Segmentation
Role: Data Scientist | Duration: Jan 2020 – Jul 2020
Tech Stack: Python, Scikit-learn, AWS S3, Glue, Tableau
● Developed sales forecasting models using regression and time-series techniques.
● Performed customer segmentation using clustering algorithms.
● Automated data ingestion from S3 to Redshift via Glue workflows.
● Integrated insights into Tableau dashboards for business teams.
● Improved sales strategy alignment using predictive insights.

7. TravelMate – Route Optimization & Dynamic Pricing
Role: Junior Data Scientist | Duration: Jun 2019 – Dec 2019
Tech Stack: Python, Pandas, AWS Lambda, SQL, Flask
● Built route optimization models using geospatial datasets.
● Implemented dynamic pricing algorithms based on demand elasticity.
● Deployed lightweight Flask APIs for integrating model outputs.
● Used AWS Lambda for cost-efficient batch inference tasks.
● Contributed to initial ML pipeline automation for predictive bookings.

Skill Set

• Aws
• Data Science
• Docker
• ETL
• Kafka
• mongodg
• Postgreysql
• PowerBI
• Python
• PyTorch
• Redis

Project Portfolio

PROJECTS
Project Name: Signature Aviation
Project Description:
• Signature Aviation: This application centralizes player information used by the CGE
team, creating graphical reports using tools like Tableau.
• EPM: It is developed to manage various gaming consoles such as PS5, PS4, XBOX,
etc. within the organization.
• Event Organizer: Involves in creating and hosting various competitive gaming
events for the players where they come, register, and play the games.
Role: Technical Lead
Project Duration: June 2023 – March 2024
Team Size: 5 – 10

Project Name: End Point Management, Competitive Gaming Entertainment, Event
Organizer (EA - Electronic Arts)
Project Description:
• CGE: This application centralizes player information used by the CGE team,
creating graphical reports using tools like Tableau.
• EPM: It is developed to manage various gaming consoles such as PS5, PS4, XBOX,
etc. within the organization.
• Event Organizer: Involves in creating and hosting various competitive gaming
events for the players where they come, register, and play the games.
Role: Technical Lead cum Architect
Team Size: 5 – 10
Project Duration: April 2021 - December 2022
Technology and Environment: .NET Core, Angular, React, Node JS, My-SQL, My SQL,
AWS for deployment.
Project Name: NBLY (Neighbourly, USA)
Project Description: This is an offshore development team involving several web-based
applications that deal in various home services such as plumbing, electrician, painting, etc...
Role: Technology Lead
Team Size: 12
Project Duration: November 2020 - March 2021
Technology and Environment: C#, Visual Studio.Net 2017, Web API, React, .Net Core
API, SQL Server 2017, Entity Framework, Microsoft Azure for deployment.
Project Name: PPT (Paradigm Physical Therapy, USA)
Project Description: PPT is an offshore development team involving several web-based
applications such as the Interactive Advanced Medicine physical Therapist (iAM-PT) portal,
Patient portal, and Organization portal.
Role: Technology Lead
Team Size: 4
Project Duration: March 2012 – June 2012
Technology and Environment: C#, Visual Studio.Net 2017, Web API, ASP.NET MVC,
.Net Core API, SQL Server 2017, Entity Framework, Microsoft Azure for deployment.
Project Name: KLX (KLX Energy Oil & Gas, USA)
Project Description: These applications were developed for KLX's various product lines
to automate their manual ticketing process. This application is talking to their Microsoft
Product called TrakQuip to a newly developed web portal to capture and post the required
data. This application has support to work offline. For offline support, we used indexed DB

and angular service worker. This helps the user to work in remote places where no
internet connectivity is available. KLX has various applications such as Bonus, Wireline,
Ventura, Fishing, etc.
Role: Technology Lead
Team Size: 12
Project Duration: October 2011 – February 2012
Technology and Environment: C#, Visual Studio.Net 2017, Web API, .Net Core 2.1,
Microservices, Angular 7.0, SQL Server 2017, Entity Framework Core, Microsoft Azure for
deployment.
Project Name: FHS (Florida Handling Services, USA)
Project Description: FHS is an offshore development team involving several applications
based on web and Mobile apps.
These applications were developed for FHS to automate their manual inspection process.
This application is talking to their Microsoft Dynamic GP to a newly developed web portal
to capture the required data.
The mobile app talks to the web portal to save the inspection data via the created API.
Role: Technical Lead
Team Size: 7
Project Duration: January 2011 – October 2011
Technology and Environment: C#, Visual Studio.Net 2017, Web API (Microservices),
.Net Core 2.1 and MVC, SQL Server 2017, Entity Framework core, Microsoft Azure for
deployment.
Project Name: Enable (Silicus, USA/India)
Project Description: Involves modules such as Entime, sales, resource management, task
management, permission management, client management, leave management, and billing
management.
Role: Technical Lead
Team Size: 10
Project Duration: November 2009 - July 2010
Technology and Environment: C#, Visual Studio.Net 2015, .Net Framework 4.5, SQL
Server 2014, T-SQL, ADO.Net, Entity framework.
Project Name: PMS (Print Mail Solution, USA)
Project Description: Involves modules based on web and Power basic applications for
banking and finance firms to print and deliver e-statements.
Role: Technical Lead
Team Size: 10
Project Duration: April 2009 – October 2009

Technology and Environment: C#, Visual Studio.Net 2015, .Net Framework 4.5, SQL
Server 2012 and 2014, T-SQL, ADO.Net, Entity framework, Power Basic, VB 6.0.

Project Name: Repete (Repet Coporation, USA)
Project Description: Involves multiple web applications, window applications, OData
services, and WPF-based applications for Automation industries.
Role: Technical Lead
Team Size: 8
Onsite experience:
Traveled to the USA and Europe for UAT and went live phase.
Project Duration: December 2008 – March 2009
Technology and Environment: VB.Net, C#, Win Forms, Visual Studio.Net 2010, .Net
Framework 4.0, SQL Server 2008 R2 and 2012, T-SQL, ADO. Net, OData service.
Project Name: Fiserv (Check Free, USA)
Project Description: Check Free is an offshore development team involving several web
and win-form-based applications.
Role: S.S.E / Module lead
Team Size: 12
Project Duration: January 2008 – December 2008
Environment: .Net, C#, Win Forms, Visual Studio.Net 2010, .Net Framework 4.0, SQL
Server 2008 R2, T- SQL, ADO. Net, SOAP, IIS 5.1, Windows XP
Project Name: Enexion (Enexion Energy Pvt. Ltd., Germany)
Project Description: This website is based on a Content Management System for the
dynamic generation of web pages.
As a technically specialized system provider, we provide proven, multi-channel
procurement solutions, or, using our development capabilities, we implement specific,
customized solutions.
The Enexion IT Services are based on the Enexion multi-channel Software Platform. This
provides integrated support for the relevant processes from the point of view of the
demander. The chart shows the complete process chain (Load, Forecast; Procurement,
Delivery). Various views (Management, Operations, and Controlling) are available of the
horizontal functions of the process chain (Reporting, Decision Making, and Action).
The following module has been developed in Enexion projects.
• User, Group, Rights & Object management
• Portfolio Management
• Address Management
• Chart viewer management

• Report generation for user portfolio, load prognosis & hourly forward price curve.
• Calendar handling
• TEC Report
• Time series
• Load prognosis, Price forward curve etc.
Role: Team Lead
Team Size: 4
Project Duration: August 2006 – January 2008
Technology: VS.Net 2008, .NET Framework 3.5, Asp.net, C# 3.0, SQL Server 2005, Ajax,
Web services, JavaScript
Project Name: CMS (Content Management System, WebDirekt Pvt Ltd., UK)
Project Description: This is an offshore development project. It is a company product,
based on which various custom websites are developed as per client requirements.
A few of them are as follows.
• www.webdirekt.in
• www.jobkueche.ch
• www.burkhalter.ch
• www.bad-homburg.de
• www.e-beadbox.ch
• www.i2c-tourmanagement.de
Role: Developer
Team Size: 4
Project Duration: Oct 2004- July 2006
Technology: VS.Net 2005, .NET Framework 2.0, ASP.NET, C# SQL Server 2005, Ajax,
HTML, JavaScript

Skill Set

• .NET
• C#
• JavaScript
• Mysql
• Sql

Project Portfolio

Project details:

1. Voter Registration Information System
Project Name : VRIS (https://vris.stonewallsolutions.com/)
Description : VRIS (Voter Registration Information System) Designed and developed a
comprehensive system to manage voter registration processes, including
data imports, record validation, voter matching, and registration queue
management. Implemented modules for processing RMV (Registry of
Motor Vehicles) files, handling AVR/ADR request types, and managing
complex data workflows. Utilized technologies such as C#, ASP.NET
Core, Razor Pages, Entity Framework, SQL Server, and T-SQL to deliver
scalable and maintainable solutions.

Responsibilities : Involved in Gathering requirements, sharing knowledge to team
members, Design, Development of functionalities & Fixes.

Environment : Dot Net Core 6.0, C#, Telerik Controls 2021, Entity Framework Core 5.0,

Sql-Server-2022, DevOps.

Team Size : 7 members
Role : Full Stack Developer
Duration : 26 months.

2. DODOS
Project Name : DODOS (http://dev.mydodos.com)
Description : It is a Web API Project for an HRMS (Human Resource Management
System) is a type of HR software that enables the management of
several HR functions through the use of information technology. An
HRMS aims to improve the productivity and efficiency of the business
through the automation of manual and repetitive tasks. This, in turn, also
frees up the HR team’s time which can then be used to address more
strategic, business-critical tasks.

Responsibilities : Involved in Gathering requirements, sharing knowledge to team
members, Design, Development of functionalities & Fixes.

Environment : Dot Net Core 2.1, C#, Entity Framework Core 2.0, Sql-Server-2017 in

Windows-10
Team Size : 4 members
Role : Team Leader
Duration : 5 months (Phase 1 Completed)

3. Logistics Information System
Project Name : LIS (https://lis.lenovo.com/), RTS, LOTS, OB, IB, MFG
Description : Using Dapper ORM architecture the project was designed.

On our end we have done customer, Driver screen details and bug fixing
(site performance).

Responsibilities : ⮚ Requirement Interaction.
⮚ Follow Agile Methodologies.
⮚ Daily stand up meeting.
⮚ Development
⮚ Monitor the Performance of the queries and provide
recommendations.
⮚ Application & Database fine tuning.
⮚ Follow Agile Model.

Environment : Asp.net, MVC 5, JavaScript, jQuery, MS-Sql-Server-2016
Team Size : 1
Role : Senior Developer.
Duration : July 2019 to July 2022.
Client : Lenovo.

4. Tailor
Project Name : Tailor (Banglore)
Description : This web application has been developed for system maintenance of
customer details, Measurement and orders details with user friendly list
of business analytical count in dashboard. Tracking the order status for
customer and online Payment Integration and Maintenance.

Responsibilities : ⮚ US team Interaction.
⮚ Development
⮚ Database design.

Environment : CodeIgniter 4, MY-Sql, JavaScript, jQuery, Git Bash in Windows7
Team Size : 3 members
Role : Programmer
Duration : Mar 2018 to Aug 2018
Client : Tailor (Banglore).

5. Ziksaka
Project Name : Ziksaka
Description : This is to write online certification test by registering using this
application, Apart from this the user can study the allocate course in
online with practice test. Certifications are sent by emails in on time. It
has a specification corporate account with multiple users will occur on
same account. Based on their role the access is provided in this
application.

Responsibilities : ⮚ Analysis, System Design & Development

⮚ Database design.
⮚ Developed cron job to auto send email.
⮚ Integration and Maintenance.

Environment : Core PHP, MY-Sql, JavaScript, jQuery, FCK editor in Windows7
Team Size : 1 member
Role : Senior Developer.
Duration : Mar 2016 to Dec 2015.
Client : ecfirst.

6. Tracer
Project Name : Tracer (https://www.tracer.ecfirst.com)
Description : This web application has been developed for HIPAA compliance audit
reports, Which were passed by USA government act. Every organization
in USA should be HIPAA compliance It’s a powerful tool to manage all the
process in online automation audit report of HIPAA act.
Responsibilities : ⮚ Client Interaction & Deployment in IIS.
⮚ Analysis, System Design & Development
⮚ Database design & monitoring the Performance of the queries.
⮚ Developed class library.
⮚ Integration and Maintenance.
⮚ Reports in word document with header, footer, different page
layout, etc.

Environment : Dot Net 4.0, Asp.net, C#, Entity Framework, LINQ, MS-Sql-Server-2012,
JavaScript, jQuery VSS(Visual Source Safe), FCK editor in Windows7

Team Size : 3 members
Role : Team Leader.
Duration : Dec 2013 to Dec 2014.
Client : ECfirst. USA.

7. Integrated Distribution Enterprise Automation Solution
Project Name : IDEAS (Integrated Distribution Enterprise Automation Solution).
Description : This is for insurance domain The distribution company engaged in
soliciting customers for various products like public deposits, life
insurance, general insurance etc. This master is to maintain the details of
various products dealing by the company throughout all asp page user
ids were maintained.
Responsibilities : ⮚ Analysis

⮚ System Design & Development
⮚ Database design & monitoring the Performance of the queries.
⮚ Dynamic Menu were Created from database.
⮚ Developed stored procedures and other DB Process for SQL
Server 2008.
⮚ Integration and Maintenance.

Environment : Dot Net 4.0, WCF, Asp.net, C#, AJAX, MS-Sql-Server-2008 in Windows7
Team Size : 6 members
Role : Programmer
Duration : April 2011 to Dec 2011
Client : Shriram Fortune Service Pvt.Ltd.

Skill Set

• .NET
• C#
• JavaScript
• jQuery
• Mysql

Project Portfolio

1. Senior .NET Developer
Duration : Sep 2024 - Present

● Designed and developed backend services for Over the Current (OTC) power
sector project using .NET Core 7, C#, and SQL Server.

● Built interactive dashboards with APIs for live/expired bids, subscription plans, and
upgrade modules.
● Implemented Entity Framework Code-First migrations for modular database
schema updates.
● Optimized T-SQL queries and indexes, improving system performance by 25%.
● Applied ASP.NET Identity for authentication/authorization with role-based
access.
● Implemented unit testing with xUnit to validate business logic.
● Actively participated in client calls for requirement gathering and sprint reviews.

2. .NET Backend Developer
Duration : Apr 2023 – Aug 2024
● Developed backend services for Firewall Management System using .NET Core 6
& SQL Server.
● Built licensing APIs with C# integrated into the Angular-based frontend.
● Implemented role-based security modules to align with OWASP practices.
● Designed SQL stored procedures and triggers for monitoring and logging.
● Collaborated with cross-functional teams to integrate backend with security
infrastructure.
● Conducted performance tuning of SQL queries for faster response times.
● Deployed services on IIS and Windows Server for staging environments.

3. Healthcare Management System Migration
Duration : Jun 2022 – Mar 2023
● Migrated legacy desktop app to .NET Core 6 + SQL Server.
● Designed EF Core Code-First entities for patient, appointment, and billing modules.

● Built secure APIs for patient records and scheduling workflows.
● Applied SQL Server indexing strategies for performance optimization.
● Integrated audit trails to track sensitive healthcare transactions.
● Deployed solution on Azure App Service with CI/CD pipelines.

4. Banking Transaction Platform
Duration : Feb 2021 – May 2022
● Developed secure transaction APIs using .NET Core 5 and SQL Server.
● Built fraud detection workflows with SQL triggers and constraints.
● Implemented Always Encrypted in SQL Server for sensitive account details.
● Optimized query execution plans to handle 50K+ daily transactions.
● Conducted code reviews to maintain secure coding standards.

5. Retail eCommerce Platform
Duration : Jan 2020 – Jan 2021
● Designed Order & Inventory Management APIs in ASP.NET Core.
● Implemented payment gateway integration with secure transaction rollback.
● Built complex stored procedures for discounting and product catalogs.
● Conducted load testing for high concurrency shopping events.
● Applied caching techniques for faster product search.

6. HR & Payroll System
Duration : Apr 2019 – Dec 2019
● Developed payroll calculation engine using .NET Core and SQL functions.

● Automated tax computation, leave management, and payslip generation.
● Implemented role-based authorization using ASP.NET Identity.
● Built reporting queries for salary audits and compliance reports.
● Participated in requirement workshops with client HR teams.

7. Insurance Policy Management System
Duration : Sep 2018 – Mar 2019
● Built APIs for policy creation, claims processing, and renewals.
● Designed schema with EF Core Code-First for modular expansion.
● Integrated audit logging and data validation at DB layer.
● Applied data encryption for sensitive customer data.
● Conducted integration testing with third-party insurance APIs.

8. Logistics Tracking System
Duration : Jan 2018 – Aug 2018
● Built shipment APIs for real-time tracking and delivery updates.
● Integrated GPS and route optimization services with backend.
● Optimized SQL queries for real-time vehicle location data.
● Implemented background services for SMS/email notifications.
● Coordinated with operations teams to validate workflow accuracy.

9. Learning Management System (LMS)
Duration : Sep 2016 – Dec 2017
● Built APIs for course, enrollment, and assessment management.

● Designed scalable schema in SQL Server with EF Core.
● Applied caching strategies for content delivery optimization.
● Created analytics queries for student performance dashboards.
● Worked closely with educators to refine assessment workflows.

Skill Set

• .NET
• C#
• Sql