Investment Portfolio Tracker

Flagship Project

A production-style FastAPI backend application for investment portfolio management that combines authentication, Retrieval-Augmented Generation (RAG), AI agent workflows, and Model Context Protocol (MCP) into a single backend system.

Backend Features

• JWT authentication with access and refresh tokens.
• Multi-Demat account support.
• BUY/SELL transaction management.
• Portfolio summaries and holdings calculations.
• Layered architecture (Routes → Services → Repository → AI).

AI Integration

• Retrieval-Augmented Generation (RAG) using LangChain and ChromaDB.
• Provider-agnostic LLM integration supporting Gemini SDK and OpenAI-compatible providers.
• LangGraph orchestration for AI agents and tool calling.
• Trusted backend context isolation.
• Model Context Protocol (STDIO and Streamable HTTP).

Testing

• Automated pytest test suite covering authentication, portfolio workflows, document uploads, AI tools, and MCP integration.

Tech Stack:

Python, FastAPI, LangChain, LangGraph, ChromaDB, SQLite, JWT, Docker, MCP, pytest

View GitHub Repository

Inventory Management API

A production-style Flask REST API for inventory management with secure authentication, MySQL persistence, layered architecture, and deployment on Render.

Highlights

• User registration and login.
• JWT authentication and protected routes.
• Role-based authorization for inventory operations.
• CRUD APIs backed by MySQL.
• Input validation and structured error responses.
• Environment-based configuration.

Tech Stack:

Python, Flask, MySQL, JWT, bcrypt, Gunicorn, Docker, Render

View GitHub Repository

Live API

VisionAid Python Programming Repository

A public repository containing more than 50 Python programs that demonstrate core programming concepts and backend development fundamentals through structured practice.

Topics Covered

• File handling.
• Functions and modules.
• Exception handling.
• Lists, dictionaries, and strings.
• Object-Oriented Programming.
• Text processing and structured data parsing.

Tech Stack:

Python

View GitHub Repository

Expense Tracker

A collaborative command-line expense management application built using Python and GitHub collaboration workflows.

Highlights

• Expense recording using file storage.
• Filtering expenses by category and date.
• GitHub collaboration through pull requests.
• README documentation contributions.

Tech Stack:

Python, Git, GitHub

View GitHub Repository