I am a second-year B.Tech Computer Science student passionate about building real-world AI systems rather than classroom projects. My work focuses on Retrieval-Augmented Generation (RAG), Machine Learning, Backend Engineering, and AI infrastructure.
Currently, I'm exploring Multi-Agent Systems, LLM evaluation, and scalable AI applications while continuously shipping production-ready projects.
Production-grade ML pipeline for loan default prediction with automated data drift monitoring using FastAPI, Streamlit, and Gradient Boosting.
Tech Stack Python • FastAPI • Streamlit • Scikit-learn • Pandas
A Retrieval-Augmented Generation (RAG) application that allows users to chat with PDF documents using semantic search, LangChain, FAISS, Sentence Transformers, and Groq Llama.
Tech Stack Python • LangChain • FAISS • Groq • Streamlit
Framework for evaluating Large Language Models on safety, reasoning capability, truthfulness, and benchmark performance.
Tech Stack Python • Hugging Face • Streamlit
- Python
- JavaScript
- SQL
- Scikit-learn
- LangChain
- FAISS
- Hugging Face
- RAG
- LLM Evaluation
- FastAPI
- Node.js
- REST APIs
- MongoDB
- MySQL
- Git
- GitHub
- Docker
- Streamlit
- Multi-Agent Systems
- Local LLMs
- AI Infrastructure
- Distributed Systems
- GPU Optimization
"I enjoy solving real-world problems by building practical AI systems that combine machine learning, backend engineering, and scalable software design."