Project Portfolio

Project #1

Project#2

Project #3

Skill Set

• Java
• React

Project Portfolio

Project#:1
Project Title – RM indexing
Description - RM Indexing is a comprehensive solution for managing and mapping answer sheets to candidate numbers and 
attendance records across multiple universities. The project automates the indexing process, streamlining the flow of scanned answer 
sheets from the scanning stage to final database entry.
In this system, the ASD (Answer Sheet Digitization) team scans the physical answer sheets, which are grouped into packets, each 
representing a classroom. A packet contains multiple answer sheets from a single classroom, and multiple packets represent multiple 
classrooms. The scanned data, stored as packets, is then released from the system for further processing.
The ASD team uses a dedicated UI to process these packets. The system reads the CCN (Center Candidate Number) value from the 
scanned answer sheets. The team enters the CCN into the database, mapping it to the correct candidate and attendance record. If 
the CCN value entered does not match the expected value in the system, the answer sheet is redirected to an enhanced screen for 
further verification and manual correction. This ensures data accuracy and minimizes errors in mapping answer sheets to candidate 
records.

Project#:2
Project Title – Thums Up (ICC world cup 2023)
Description - This project was designed as an interactive marketing campaign for the ICC World Cup 2023, offering users the opportunity 
to engage with the brand through fun, rewarding experiences. The platform allowed users to register and participate in various games 
where they could earn rewards, including merchandise and tickets to the ICC World Cup 2023 matches.

Project#:3
Project Title - Sage ERP (Sage evolution 200)
Description - This is a project based on the Implementation of Sage 200 with custom functionality, assign databases to customers,
Roles and permissions of module, Inventory management, Sales order, Purchase order and conversion of sales order to purchase
order, credit note, return to supplier etc.

Project#:4
Project Title - E-Commerce Merchant Platform
Description - This project was entirely based on E-Commerce that enables merchants to manage and grow their online stores. The 
system allows merchants to register their stores, onboard staff, and manage products and services efficiently. Merchants can also 
create and manage special offers to attract and retain customers.

Project#:5
Project Title - Circle Asia (Data Engineer)
Description - Optimize the DAGs, SQL scripts, and Elastic Cubes. Dealing with different countries’ databases. Design and Developed
the ETL Job, to load data from different sources like AWS S3, Zendesk, RDS, Aroura into the Datawarehouse (Snowflake). Developed
the SQL scripts for Reporting on the Ad hoc requests.

Project#:6
Project Title - Cloud Conversations
Description - Save the Queue details, Conversation Details, and users details data to retrieve after joins on multiple tables and filter
the data by date and time and some conditions. into the SQL database from PureCloud. Enable and disable the Queue from UI and
update the queue status into the SQL database. Filter the conversations by date and time using SQL query and display the filtered
conversation in UI. Display the Queue Details in UI by division, retrieve the filter queue data from SQL database. Update the
Conversation status into the SQL database. Save and update the conversations data from PureCloud to SQL database.

Project#:7
Project Title - Survey App
Description - Upload and update the survey calls details into the SharePoint list from the SQL database. Write the Console job to fetch 
the Survey call details from the SQL database and upload the survey call details into the SharePoint list every hour. TAP survey calls
data to retrieve after joins on multiple tables and filter the data by date and time and some conditions.

Project#:8
Project Title - Folder Migration
Description - Migrate the folder from the network drive to the SharePoint document library. Design and develop the Folder
migration tool where the user can select the source and target folders to upload into the SharePoint list

Skill Set

• .NET
• Agile Software Development
• C#.NET
• cloud technologies
• Python

Project Portfolio

      TEST AUTOMATION ENGINEER                                       Aug 2024–Present  

  PROJECT DETAILS  

 Product – Customer Travel Solutions  

• Designed and implemented a robust automation framework using Selenium, integrating it with TestNG for test management and reporting. Enhanced the framework’s capabilities to handle complex travel booking scenarios, increasing test coverage and reducing maintenance efforts. 

• Developed and executed test strategies for various modules of the application, utilizing Page Object Model (POM) and Data-Driven Testing approaches. This led to improved test accuracy and reusability. 

• Implemented cross-browser testing strategies using Selenium Grid to ensure compatibility across different browsers and platforms, increasing application reliability. 

• Conducted detailed demonstrations of automation capabilities to clients, showcasing the efficiency and effectiveness of the test automation framework in validating key functionalities. 

• Collaborated closely with development and business teams to identify critical areas for automation, ensuring alignment with project requirements and timely resolution of issues. 

• Monitored and reported on test performance metrics, identifying areas for improvement and optimizing test execution times. 

Technologies used: Java, Selenium WebDriver, Selenium Grid, Git, Maven, IntelliJ, AWS Code commit.  

     TEST ENGINEER                                                                         Feb 2021 –Feb 2024  

      INFOSYS LIMITED, Bangalore       

PROJECT DETAILS  

Product – Total Energies, Total Account  

• Initiated client meetings to gather project requirements and analyzed data to determine the optimal approach, resulting in a 25% increase in project success rate and client retention.  

• Orchestrated a comprehensive regression test suite utilizing automation scripts for the application, resulting in a 40% reduction in testing time and a 25% increase in software quality and stability.  

• Produced an in-depth Test Completion report detailing 98% test coverage, 12 critical issues resolved, and 5 new features tested; instrumental in meeting project milestones and ensuring product quality.  

• Facilitated defect tracking and reviewed test scenarios/test cases with the business team.  

• Identified test cases for automation and performed functional testing of the front-end using Selenium (IDE and WebDriver). Developed a data-driven framework using TestNG.  

• Executed parallel browser testing on various machines using Selenium Grid and performed cross-browser testing.  

• Automated end-to-end tests for Java web applications, focusing on web controls using Selenium and various frameworks within Selenium.  

• Coordinated between technology and business teams to ensure all outstanding issues were addressed, fixed, and retested.  

• Performed database testing with a thorough understanding of SQL.  

• Planned test execution activities on a daily/weekly basis.  

• Conducted regression tests using automated testing tools Selenium, TestNG, and Cucumber.  

• Executed automated regression test cases during every release and managed the daily regression test suite, ensuring end-to-end testing and daily reporting.  

Technologies used: Java, Selenium, Cucumber, Git, Maven, Jenkins, Agile Scrum, Jira, Manual Exploratory Testing, Eclipse.  

Skill Set

• Agile Software Development
• Java
• Scrum (Software Development)
• Selenium

Project Portfolio

1.      StockyDoDo  

Description: StockyDoDo is a Flutter-based stock and shares gaming app that simplifies finance, allowing users to choose stocks, create portfolios, and compete in contests. It integrates Razorpay for transactions, MoEngage for user engagement, Firebase for backend services, deep linking for seamless navigation, and push notifications. Additionally, it offers video learning modules to educate users about stock trading. StockyDoDo makes finance engaging and accessible.

www.stockydodo.com/

Technologies: Flutter, Java

2.     Fanzly - Onlyfans Clone 

Description: Fanzly, built with Flutter, is a subscription-based content platform,

akin to OnlyFans. It empowers creators to share exclusive content, offer pricelocked posts, and host paid live streams. The app facilitates secure transactions, including in-app wallet features and supports features like one-on-one video calls, VIP chats, and referrals. Using technologies such as clean architecture, GetX for state management, video players, Hive for data storage, Dio for REST APIs, and Flutter flavors for separate environments, Fanzly provides a seamless and secure experience for creators and users in the realm of subscription-based content sharing and streaming. 

Technologies: Flutter

3. OmfNetwork (Under Production), 

Description– This is a VOD app basically a clone of Netflix with some additional functionality like products selling, instagram reels for movie trailers, downloading movies, scheduling downloading videos lifecycle, also for Web/Tab application. Technologies: Flutter 

4. Gym Client SaaS Software (On Play Store),  

Description: This app is for Gym Clients app, used to track the membership in particular Gym. Also, can track measurements, Work out details & Nutrition details provided by the trainee to the gym customer through Web App. Can manage the accounts (Membership plans & fee structure), And the Media uploaded by the Gym. 

Technologies: Flutter 

5. Grocery Store (Store, Delivery, Admin)  

Description: App was in production, I have worked on the UI of Grocery Store (for user), Grocery Delivery App, and the Grocery Admin app with API integration 

6.      EKartZone  

Description: EKartZone is an e-commerce Android app where we can compare the products according to the rating, price, brand, color, size etc. and buy a perfectly balanced product. And the app will have general functionality like Wishlist, newsletters subscription, allow remote shopping assistance, categories and subcategories products and searching, cart, checkout orders, can check the order status, previous orders, product reviews and manage personal reviews for products etc. 

Technologies: Flutter

7.      Asala  

Description: Asala is e-commerce Android app with multi language support, and left-toright or right-to-left alignment functionality for Arabic languages, and the app with have general functionality like Wishlist, categories and subcategories products and searching, cart, checkout orders, can check the order status, previous orders etc. technology used in the app 

Technologies: Flutter 

8.      YesPayBiz App 

Description: The possible features that could be included in the Paytm-like features integrated into the YesPayBiz app:

Mobile Wallet, Payment Gateway Integration, QR Code Payments, Money

Transfers, Bill Payments, Recharge and Top ups, Transaction History and

Notifications, Offers and Discounts, Security and Authentication, User Profile and Settings 

Technologies : Android, Java

Skill Set

• Flutter

Project Portfolio

HMP, 

URL: https://heathmatthewsphysio.com/

Description: Its mission at HMP is to help people recover from injuries and improve their fitness. We deliver high quality exercise and rehabilitation programs using the reach and convenience of the internet. Skills: Ruby On Rails, postgres, HTML / CSS

Carserv,  URL: https://www.carserv.com/  

Description: CarServ, Inc. is a software platform for automotive repair shops. We provide shop management, customer communication and marketing in a seamless, automated piece of software. 

Skills: ROR 

JDivorce, 

URL: https://jdivorce.com/

Description: JDivorce provides a guided online experience to create your divorce application. Technology Proficiency. Answer every question after viewing precise notes from different lawyers. Safeguard your interests while saving thousands in legal fees.

Skills: ROR 

Aquapms, 

URL: https://aquapms.com/

Description: It is a complete Hotel management website where Administrators and managers can assign the works to their employees and also give credits to them to know the status of each room.

Skills : ROR 

Trade The Stats 

URL: http://tradethestats.com/

Description: provides the information of scorer matches, leagues, live matches, seasons, players. Can search the matches based on location and leagues. Skills: ROR

Craftybase  

URL: https://craftybase.com

Description: An all-in-one business management software designed for handmade craft sellers. Ditch the spreadsheet so you can see your real-time inventory and COGS, track expenses, and make more sales. Bug-fix from thinking-sphinx library. Skills : Ruby on Rails project with thinking-sphinx search engine

Skill Set

• HTML,CSS
• Ruby on Rails

Project Portfolio

Skill Set

• Flutter
• Nodejs

Project Portfolio

Hugo

Hugo is a one of the medical project that can provide multiple facility. Patient can book their online appointment. Doctor can schedule their patient appointment. Doctor can manage their patients past and upcoming appointments. Also, the patient can order medicine from the pharmacy.

Responsibility : API development and Maintain.

·       Communicate with client

·       Team Player

Back-end: Asp .Net Core - 6

Database: SQL Server

   Genealogie

A genealogy is a specific type of search page. The user can utilize an elastic search to find the data.

Responsibility : development and Maintain.

•         Communicate with client

Back-end: Asp.Net - 2

3rd Party Services: Elastic search

Duration: 8 Months

Altruify

Altruify’s charitable donation generation platform. Altruify users can choose which charities or charitable cause themes will receive their donated funds. Through our web and mobile apps, Altruify users are able togenerate charitable donations, track their donations over time, manage and limit their donation amounts, change which charities receive their donations and research new charities to donate to. They can Generatecharitable donations with their favourite technologies.

Responsibility : API development and Maintain.

·       Communicate with client

Back-end: Asp .Net Core - 6

Database: SQL Server

3rd Party Services: Twitter, Fitbit, Google fit

Duration: 1 Year

YSells

I was entrusted with building the API for this project. This project aims to give users the ability to post ads

for products and property they are buying or selling. Additionally, they provide articles about various job positions. The consumer has the option to post numerous advertisements from various nations. Additionally, itmay function in both Arabic and English. This software allows for comments on various post-ad postings and allows for direct client-seller connection.

Responsibility : Creating a API for Ysells app.

·        Client communication.

·        Working with Firebase for push notification

Back-end: Asp .Net Core - 6

Database: SQL Server

3rd Party Services: Firebase

Duration: 1 year

COMT

This project's goal is to allow users to view their medical activity. this particular kind of patient monitor. Super admins can control several hospital details. Graphs and different filters are used to display the patient's progress. also available for download are patient reports in pdf or excel.

Responsibility : Team Player

·       Back end Development Unit Testing and manual Testing

·       Code Review and optimization

·       Communicate with client

Back-end: Asp .Net MVC

Front-end: JavaScript, JQuery, AJAX, HTML, CSS , Bootstrap

Database: SQL Server

Duration: 7 Month

 XpenseBee

The goal of this project is to allow customers to manage their cost and income accounts. working with both create a manual design of site and development Many forms of category and subcategory added and conducta transaction. They were able to set up several Accounts and manage their spending. The main goal of the Xpensebee project is to enable users to transfer control of their live accounts to other users. The Xpensebee app and website are both available. I collaborated with both sides.

Responsibility: Team Player

Backend deployment and testing in product torment

·       Back-end API Development

Back-end: .Net Core-6

Front-end: JavaScript, JQuery, AJAX, HTML, CSS , Bootstrap

Skill Set

• Asp dotnet
• Bootstrap
• HTML,CSS
• JavaScript
• jQuery

Project Portfolio

Project: HealthCare
Project Overview: The Diabetes Prediction System is a machine learning-based application designed to predict the likelihood of an individual developing diabetes. The system uses a variety of patient health metrics as input, such as age, BMI, blood pressure, and glucose levels, to estimate the risk. By leveraging historical data, the model provides healthcare professionals and individuals with insights into their diabetes risk, enabling early intervention and better health management.
Technology: Python, Scikit-learn, Flask, AWS (S3), Pandas, NumPy

Workflow

1. Data Collection: Gathered data from reliable sources like the PIMA Indian Diabetes Database, which contains a range of health indicators related to diabetes.
2. Data Preprocessing: Cleaned and transformed the dataset to ensure it was suitable for machine learning, including handling missing data and scaling features.
3. Model Development: Trained several machine learning models using the preprocessed data, fine-tuning them through hyperparameter optimization to improve accuracy.
4. Model Evaluation: Assessed models using a validation set and selected the best-performing one based on key metrics.
5. Deployment: Integrated the model into a web application, enabling users to interact with it easily. The application was tested for performance and reliability.
6. Testing & Validation: Conducted thorough testing to ensure the system provided accurate predictions across various scenarios.
7. User Feedback & Iteration: Collected feedback from users and iteratively improved the system based on their inputs.

Project: Image-to-Text OCR and BERT-Based Chatbot System

Project Overview: This project focuses on extracting text from images using Optical Character Recognition (OCR) and integrating it with a BERT-based chatbot for real-time question-answering. The system processes images to extract textual data, which is then cleaned, segmented, and transformed into embeddings. These embeddings are used to match user queries with relevant text from the extracted data.
Technology:Python, Tesseract OCR, BERT, Hugging Face, Flask, AWS (S3, Lambda), Pandas, NumPy, LangChain, OpenAI Functions, Pinecone (for embeddings), Snowflake (for data storage)

Role & Responsibilities:

●       Developed an OCR module using Tesseract to extract text from various image formats (JPEG, PNG, BMP), ensuring high accuracy in extracting textual content from complex layouts.

●       Processed and cleaned the extracted text, segmenting it into sections to improve the chatbot’s ability to understand and respond to user queries.

●       Created embeddings using BERT, fine-tuned using Hugging Face transformers, and stored them in Pinecone to allow efficient similarity searches for relevant content matching.

●       Integrated LangChain to enhance pipeline flexibility, enabling seamless data flow between the OCR extraction, BERT model, and search systems.

●       Built an API using Flask to provide a real-time Q&A interface for users to interact with the chatbot, asking questions related to the extracted image content.

●       Incorporated AWS Lambda for serverless processing of text data and to trigger the OCR and chatbot functions.

●       Used Snowflake as a centralized storage system to store cleaned and processed text data from the OCR, allowing seamless retrieval for further analysis.

●       Implemented a feedback loop using user interactions to continuously refine the accuracy of both the OCR and chatbot models, improving their performance over time.

●       Applied vector stores and embedding techniques to optimize the performance of search algorithms for faster retrieval of relevant information from large datasets.

Project: Movie Recommendation System

Project Overview: This recommendation engine offers personalized movie suggestions by leveraging both collaborative filtering and content-based filtering methods. It analyzes user data such as ratings, preferences, and past interactions to suggest movies that match their tastes. The system is designed to scale for large datasets and includes advanced data processing and storage solutions.
Technology: Python, Scikit-learn, Pandas, NumPy, Flask, AWS (S3), LangChain, OpenAI Functions, Snowflake, Pinecone, Dask, Apache Spark

Role & Responsibilities:

●       Collected and pre-processed movie-related data, including titles, genres, ratings, and user interactions, using Pandas and NumPy for data cleaning and transformation.

●       Developed a collaborative filtering model using matrix factorization to predict user ratings and generate personalized movie recommendations.

●       Built a content-based filtering model utilizing movie attributes such as genre, director, and keywords to suggest similar movies.

●       Trained and evaluated models using various metrics like precision, recall, F1-score, and RMSE, fine-tuning to optimize performance.

●       Integrated LangChain to streamline the orchestration of data processing, model training, and inference workflows.

●       Deployed the recommendation engine using Flask, providing a user-friendly API for personalized movie suggestions.

●       Used AWS S3 for large-scale movie data storage and user interaction logs, ensuring efficient access and backup.

●       Integrated Pinecone to store movie embeddings and perform vector-based similarity searches, enhancing the relevance and accuracy of recommendations.

●       Scaled the recommendation system using Dask and Apache Spark, enabling processing of large datasets across distributed computing platforms.

●       Stored structured movie data and user profiles in Snowflake, optimizing queries for fast data retrieval and processing.

Skill Set

• Aws
• Python

Project Portfolio

Skill Set

• data analytics

Project Portfolio

PROJECT I:

NCMG - IIOT-Based Monitoring System (LLM-RAG Framework)

Description: As the lead developer of an IoT device management system, I integrated the LLM (RAG

Framework) to enhance data analysis and decision-making processes in real-time. The system employs LLMs for analyzing large datasets generated by connected IoT devices, retrieving insights from external knowledge sources, and generating actionable recommendations. Implemented robust data validation mechanisms to ensure data integrity and consistency during the data conversion process from IoT sensors. Utilized MQTT for efficient communication between devices and the server, with data securely stored in a distributed NoSQL database. Integrated encryption protocols for securing device data both in transit and at rest, ensuring compliance with industry standards.

Technologies Used: LLM (RAG Framework), MQTT, Node.js, PostgreSQL, Express.js, Docker, Azure

PROJECT 2:

The citizen Tech – WEB3:

Description: Citizen Tech, a revolutionary platform empowering user to engage in independent speech and advance their causes through campaigns. This innovative app not only facilitates user-driven campaigns but also introduces the concept of MIT crypto, providing a unique and decentralized medium for financial transactions within the platform. citizen tech allows users to speak independently and do campaigns in advance they can purchase the MIT crypto in this app and sell it whereas they can login via MetaMask wallet web 3 login and buy and sell nfts, making the campaigns and groups to be act publish citizen.

Technologies Used: Web 3, MetaMask wallet, Tailwind CSS, Ethers, ReactJS, Nodejs, DynamoDB, AWS S3

PROJECT 3:

Film Manga Series Site Platform:

 Description: Develop a dynamic and user-friendly web platform using ReactJS and Nodejs Dynamic API’s, hosted on AWS S3 and EC2, dedicated to the passionate world of film, manga, and series enthusiasts. This platform aims to provide a comprehensive and engaging experience for users to explore, discuss, and discover their favorite films, manga, and series.

Technologies Used: ReactJS, Redux, SQL, SASS, Node JS, EC2, AWS LAMDA, Load Balancing, S3, MongoDB.

PROJECT 4:

Chat Application:

Description: As the lead developer for a cutting-edge private chat application, I spearheaded a comprehensive project that prioritizes responsiveness across web platforms. Leveraging React components, I crafted an intuitive and visually appealing user interface, ensuring a seamless and enjoyable communication experience for users. Saving up data on Cloud and fetching through API storing in encrypted to database. Where the complete project which having an UI using react components and JSON data.

Technologies Used: React.js, SASS, SQL, Node JS. Kafka, Zookeeper

PROJECT 5:

Hybrid data conversion from SQL to NOSQL- SAAS PRODUCT Description:

Developed and integrated APIs to facilitate secure data exchange between the client and server. The APIs handle data retrieval, updates, and synchronization efficiently, ensuring real-time communication capabilities. Utilized JSON for data serialization and deserialization, enabling efficient and lightweight data interchange between the client and server. Implemented encryption protocols for data stored both in the cloud and locally, safeguarding sensitive user information from unauthorized access and ensuring compliance with security standards.

Technologies Used: NodeJS, DynamoDB, ExpressJS, AWS-SDK, PostgreSQL PROJECT 6:

Allcaps

Description:

Developed an AI-driven platform that streamlines negotiation processes by generating real-time estimates and facilitating communication between users and officials. The system integrates with external data sources to ensure the information is accurate and current. Implemented LLMs with the Retrieval- Augmented Generation (RAG) framework to enhance content generation based on user queries and external databases. The platform ensures secure data exchange and provides seamless synchronization between users and officials through dynamic APIs. Data is efficiently stored and managed using MySQL for structured data, and React.js was used to create a responsive and intuitive user interface. Encryption techniques were applied to ensure the security and privacy of data during transmission and at rest.

Technologies Used: Python, React.js, LLM (RAG Framework), MySQL, AWS (S3, API Gateway)

PROJECT 7:

DoxyAI

Description:

Developed an intelligent document management system leveraging LLMs and the RAG framework to automate document classification, summarization, and extraction of critical insights. The system connects to external knowledge databases to provide enhanced document processing capabilities. A user-friendly Next.js interface was built to allow seamless interaction with the AI models, including uploading and managing documents. MySQL was used to store metadata and document information, ensuring efficient search and retrieval functionality. Encryption protocols were implemented to protect sensitive information, both during transmission and while stored in the cloud, ensuring adherence to security and compliance standards.

Technologies Used: Python, Next.js, LLM (RAG Framework), MySQL, AWS (S3, API Gateway)

PROJECT 8: OTT Streaming Platform for Movies and Videos

Description:

As the lead developer, I built a high-performance OTT (Over-The-Top) streaming platform that allows users to stream movies and videos seamlessly across devices. The platform features user authentication, content categorization, personalized recommendations, and adaptive bitrate streaming for a smooth viewing experience. The backend, powered by Node.js and Express.js, handles user requests, manages subscriptions, and delivers video content efficiently via RESTful APIs. PostgreSQL is used to store user data, subscription details, and media metadata. I also implemented a video encoding pipeline to optimize video formats and ensure smooth streaming across different bandwidths. Security measures, such as encrypted storage of user credentials and payment details, were integrated to ensure data protection.

Technologies Used: Node.js, PostgreSQL, Express.js, AWS S3 for video storage, CloudFront for CDN, FFMPEG for video encoding.

PROJECT 9: Bitcoin Mining and Monitoring Platform

Description:

Led the development of a Bitcoin mining and monitoring platform designed to manage and track mining operations in real time. The platform integrates a GraphQL API for efficient querying of mining data, such as hash rates, block generation status, and rewards. The backend, built using Node.js, handles mining tasks and communicates with miners through distributed message streams using Kafka, ensuring fault tolerance and scalability. Zookeeper was used to manage Kafka clusters and ensure system synchronization across nodes. PostgreSQL served as the primary database for storing mining data, user profiles, and transaction logs, with encrypted storage to protect sensitive information. The system allows for real-time monitoring of mining performance, provides reporting tools for profitability analysis, and integrates with Bitcoin nodes for real-time blockchain updates.

Technologies Used: Node.js, GraphQL, PostgreSQL, Kafka, Zookeeper

Skill Set

• Aws
• Express
• Kafka
• Mysql
• Nodejs
• PostgreSQL
• Python