AI Engineering student with a passion for building and deploying LLM-powered applications and full-stack AI systems.
I work with Python, FastAPI, LangChain, RAG pipelines, ChromaDB, PostgreSQL, and Google Gemini to build AI tools that actually ship — not just notebooks or demos.
My focus is on document intelligence, healthcare AI, and agentic systems that solve real problems for real users.
Always learning, always building. Open to freelance projects and collaborations.
Agentic AI system that autonomously researches companies, evaluates research quality, performs follow-up research when needed, and generates personalized internship outreach emails — fully automated end to end using LangGraph multi-agent orchestration.
LangGraph Google Gemini TypeScript Agentic AI Multi-step Reasoning Vercel
Transforms hospital discharge summaries into structured care instructions with automated risk scoring and bilingual support.
FastAPI Google Gemini Streamlit Docker Vercel Python
Upload PDFs and chat with them using AI. Every answer cites exactly which document it came from. Supports multiple documents simultaneously with full conversation memory.
FastAPI LangChain ChromaDB PostgreSQL HuggingFace Google Gemini
Agentic AI & LLM
Backend & Databases
ML & Computer Vision
Deployment & DevOps
Frontend & Visualization
- LangGraph multi-agent systems and agentic workflows
- LangChain agents and multi-step AI reasoning
- MLflow for model tracking and evaluation
- Fine-tuning LLMs with QLoRA
- Building AI tools that solve real problems
"Building intelligent systems that solve real-world problems."