AI/ML engineer and backend developer based in Nepal. I build practical machine learning systems, retrieval-augmented applications, and reliable APIs that turn research ideas into usable products.
- Retrieval-augmented generation and LLM applications
- AI agents and workflow automation
- Reinforcement learning and world-model research
- Natural language processing and computer vision
- Python backend development with FastAPI
- Containerized services and production ML deployment
| Project | What it demonstrates |
|---|---|
| Digital Liver World Model | JEPA-style world model for sequential clinical-state prediction |
| Medical RAG Chatbot | Document retrieval and question answering over medical content |
| DeepFake Detection Agent | An agent workflow for manipulated-media detection |
| Nepali GPT-2 | Language model training for Nepali text |
| CodePilot | AI-assisted software development |
| FastAPI 12-Factor App | A containerized FastAPI service structured for deployment |
I contribute fixes, tests, and documentation to open source projects. My development workflow emphasizes clear APIs, reproducible debugging, focused tests, and maintainable production code.
Deep learning systems, evaluation for LLM applications, and dependable ML deployment.
Electronics and Communication Engineering, Pulchowk Engineering Campus, Nepal.
I am open to internships, entry-level AI/ML roles, backend engineering opportunities, and thoughtful open-source collaboration.