I'm a Electronics engineer from Pulchowk Engineering Campus, Nepal, focused on applied AI/ML — retrieval-augmented generation, autonomous agents, and deploying models as real products rather than notebooks. I like taking an idea from a Jupyter cell to a containerized API.
- 🔭 Currently building RAG pipelines and LLM agents with LangChain / LangGraph
- 🌱 Learning deep learning architectures and production ML deployment (Docker, AWS)
- 💬 Ask me about Python, computer vision, or NLP/transformers
- ⚡ Fun fact: I built a GPT-2 model trained on Nepali text
| Project | Description | Stack |
|---|---|---|
| Medical RAG Chatbot | Retrieval-augmented Q&A system over medical documents | Python, RAG, LangChain |
| DeepFake Detection Agent | Agent-based pipeline for detecting manipulated media | Python, Agents, ML |
| Nepali GPT-2 | GPT-2 language model trained from scratch on Nepali text | Python, Transformers, PyTorch |
| CodePilot | AI-assisted coding tool | Python |
| FastAPI 12-Factor App | Production-style FastAPI service following 12-factor principles | Python, FastAPI, Docker |
| Blog Generation | LLM-powered blog content generator | Python, LLMs |
| Devanagari Character Recognizer | Handwritten Devanagari character recognition | C++ |
| Trader Behavior & Market Sentiment | Sentiment analysis applied to trading behavior | Jupyter, Python |
Languages
AI / ML / LLMOps
Transformers · LangChain · LangGraph · RAG · AI Agents · Scikit-Learn · TensorFlow · PyTorch · Pandas · NumPy · Matplotlib
Backend & Infra
Open to internship / entry-level AI-ML and backend roles — feel free to reach out 🚀