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CodeReviewer

Multi-Agent Code Analysis System

An AI orchestration system that reviews code through specialized analysis agents and streams structured, evidence-backed reports.

How it works:

  • Five-node LangGraph orchestration layer with specialized analysis agents
  • Pydantic-enforced typed contracts for structured, deterministic agent outputs
  • Async PostgreSQL persistence with end-to-end WebSocket report streaming
  • HuggingFace Inference API for LLM-powered synthesis

Tech Stack:

  • Backend: FastAPI, LangGraph, PostgreSQL
  • Streaming: WebSockets
  • AI: HuggingFace Inference API
  • Infra: Docker

Pandit AI

Neuro-Symbolic Vedic Astrology Application

A modern application that combines ancient Vedic astrology wisdom with AI to generate personalized horoscope readings.

How it works:

  • Calculates precise planetary positions using Swiss Ephemeris
  • Applies classical Vedic astrology rules from a Neo4j knowledge graph
  • Synthesizes natural language insights using AI (Groq/Ollama)

Tech Stack:

  • Backend: FastAPI, Python, Swiss Ephemeris, Neo4j
  • Frontend: Next.js, TypeScript, Tailwind CSS
  • AI: Groq API with Ollama fallback

Rently

Chore & Expense Management for Shared Living

A web application that helps tenants living together manage chore rotations and shared expenses so turns are not forgotten and resentment does not quietly poison the apartment.

The problem it solves:

  • Chores rotate and people forget
  • Responsibility is unclear
  • Expenses get messy
  • Coordination happens in unreliable chat threads

Target users:

  • 3-6 tenants living together
  • Shared responsibilities
  • No need for landlords, payments, or enterprise nonsense

NEST Hackathon 2.0

Nurturing Excellence Strengthening Talent

Participating in the Novartis NEST 2.0 Hackathon to build innovative healthcare solutions.

Microsoft Imagine Cup

Global Student Technology Competition

Building a project for the Microsoft Imagine Cup, focusing on AI and Cloud technologies.

Learning Open Source Contributions

Actively learning how to contribute to large-scale open source projects, understanding codebases, and PR workflows.

DevOps Learning

Deep diving into CI/CD pipelines and Docker containerization to improve deployment workflows.