Working as a Full Stack Developer. Working with Cross Clients.Responsibilities:• Developed DelphAI, an AI chatbot frontend with streaming data functionality using HTML, CSS, TypeScript, ReactJS.• Redesigned the UI for improved user experience and implemented Dynamic Graph Generation based on user-selected scenarios and ensured Automatic Updates when scenario changes occur.• Also redesigned UI for enhanced user-friendliness and visual appeal, including implementing a pane for conversation history management (delete, archive, rename).• Implemented scrollbars, auto-scrolling, error handling, and checkbox loader features using HTML, CSS, TypeScript to enhance user interaction.• Developed Flask APIs in Python for the backend of FinOps, an AI-powered financial operations and optimization tool, to retrieve live data from AWS, GCP, Azure, and historical data from Neo4J graph database.• Designed Python APIs using FlaskAPI for storing data in Neo4j Graph Database and retrieving historical data from Neo4J.• Created FlaskAPI in Python to retrieve live data from AWS, GCP, Azure and historical data from Neo4J Graph Database and send the payload to Frontend to use it in UI Graphs and Reports.• Implemented functionality to generate PowerPoint presentations based on live or historical data fetched from Neo4J in FinOps.• Optimized backend APIs with caching strategies to enhance application responsiveness and scalability using FlaskAPI.• Used Git and Azure DevOps for version control to ensure code management and collaboration across teams and Deployments.

Worked as a Backend Developer. Worked on Developing Backend of a Commissions Website built for One Of A Fortune 50 Company - AT&T.Responsibilities:• Developed a Commission application for AT&T to manage franchises and 3rd party dealer commissions using Python and Azure Function App.• Designed and implemented a mailing functionality using MIME & other Python libraries to notify on commission request status.• Implemented import/export functionalities using Flask, Pandas, IO, and OpenPyXL for data handling and transformation.• Conducted data transformations using PySpark, NumPy & Pandas in Azure Synapse Studio Notebooks to ensure data integrity and compliance.• Created and managed Data Pipelines in Azure Synapse Studio for efficient data processing from Azure Storage Explorer, PostgreSQL, and MongoDB• Accustomed to Deployment steps and CI/CD pipelines with help of Git, Azure DevOps.• Maintained High Code Quality, Version Control practices, and Continuous Integration using Azure DevOps, contributing to efficient project delivery.• Collaborated with cross-functional teams to integrate backend solutions, ensuring scalability & performance optimization.