I'm a Computer Science student interested in Machine Learning, Artificial Intelligence, and Data Science. I enjoy building things, breaking things, and figuring out how they work under the hood.
- I'm deeply interested in Machine Learning, Deep Learning, Computer Vision, and LLMs.
- I enjoy building AI-powered applications and scalable backend systems.
- I'm exploring RAG, AI Agents, system design, and intelligent software systems.
- I actively contribute to open-source projects and enjoy working with real-world codebases.
- I primarily work with Python, C++, Java, PyTorch, FastAPI, React, and PostgreSQL.
- Outside of programming, I'm a freelance video editor and enjoy working on creative projects.
- Self-Learning AI Agent - An experimental AI agent built from scratch with long-term memory, experience evaluation, reflection, and learning capabilities. Built with Python, PostgreSQL, pgvector, and a provider-agnostic LLM layer.
- Codegraph - Exploring code intelligence and program analysis through graph-based representations.
- MCP Chatbot - AI chatbot exploring Model Context Protocol and tool-based AI workflows.
- SAKSHAM - Intelligent skill assessment and job recommendation platform built with a microservice architecture.
I enjoy contributing to open-source projects, learning from production codebases, and solving problems beyond my own projects.
Currently exploring contributions in:
- Machine Learning
- AI & LLM infrastructure
- Python ecosystems
- Developer tooling
- Data science libraries
You can find my open-source contributions here.
Machine Learning → Deep Learning → LLMs → AI Agents → Production Systems
Always building. Always learning.