I am a Python-focused Full Stack Developer and AI & GenAI enthusiast based in Vadodara, Gujarat, India. I am passionate about building AI-powered applications and bridging complex backend logic with user-friendly frontends, particularly in FinTech and LegalTech. No current position is listed on my profile.
- My technical focus spans Python, Flask, FastAPI, LangChain, and ChromaDB for backend and AI work; React.js, Next.js, and Tailwind CSS for frontend development; and MongoDB, PostgreSQL, MSSQL, and Supabase for databases. I am focused on Generative AI, especially RAG and LangChain, and am upskilling in DevOps to improve deployment pipelines.
I worked as Backend Developer Intern at Akshar IT Solution (Jul 2023 to Aug 2023), Vadodara, Gujarat, India. I developed secured RESTful API endpoints using Flask and JWT authentication, and tested APIs with Postman.
I worked as Database Engineering Intern at Akshar IT Solution (Sep 2022 to Oct 2022), Vadodara, Gujarat, India. I integrated MSSQL with a Python Flask backend and designed SQL queries for data retrieval and storage.
My education includes Gujarat Technological University (GTU): Bachelor of Engineering - BE, Computer Engineering (Jul 2024 to Aug 2027), at Neotech Institute of Technology, Vadodara.
My education includes Gujarat Technological University (GTU): Diploma Engineering, Information Technology (Jul 2021 to Apr 2024), at Sigma Institute of Engineering and Technology, Vadodara.
My education includes Gujarat Secondary and Higher Secondary Education Board (GSEB): S.S.C, 10 (Jun 2020 to May 2021), at The Bright School, Vadodara.
I am developing a modular Nifty 500 analytics platform with a Fetcher-Scanner-Engine pipeline. AlphaQuant synthesizes fundamental and technical data to execute RSI and MACD strategies with a custom portfolio backtester.
I built NyayaGPT, a full-stack RAG system using Next.js and FastAPI. Leveraged LangChain and ChromaDB to enable context-aware Q&A over 5,200+ vector-embedded legal text chunks. I implemented Supabase Auth for security.
I developed Trade Easy, a full-stack paper-trading platform integrating Motilal Oswal OpenAPI. It uses Socket.IO for real-time data broadcasting and a centralized service for fan-out live price updates.
- My listed skills include Python, Flask, React.js, FastAPI, Artificial Intelligence (AI), Next.js, PostgreSQL, SQL, and Docker. Other technologies and strengths I describe include JWT, Postman, MSSQL, MongoDB, Supabase, Tailwind CSS, backend development, responsive frontend development, API testing, database integration and querying, Generative AI/RAG, and connecting backend logic to user-friendly interfaces.
- My profile lists IntelliHack (Aug 2025, Dhirubhai Ambani University) and Tic Tech Toe 2024 (Sep 2024, United Latino Students Association) as certifications. I was the winner of the Award for Future Potential at CREATO 2024 (BBIT), recognized for rapid prototyping of a digital ordering solution in a diploma-level competition.