I design, build, and deploy AI systems powered by LLMs, Retrieval-Augmented Generation (RAG), and Agentic AI.
My work spans enterprise knowledge assistants, multi-agent workflows, AI-powered search systems, and production-ready GenAI applications.
Alongside engineering, I have trained 2000+ students and professionals in AI, Machine Learning, and Generative AI, giving me a unique perspective on both building and explaining complex AI systems.
LLM Pipelines - LangChain · OpenAI · Hugging Face
RAG Systems - FAISS · ChromaDB · LlamaIndex
Agentic AI - LangGraph · CrewAI · Tool Calling
APIs & Deployment - FastAPI · Docker · Streamlit
Fine-Tuning - LoRA · QLoRA · PEFT · Hugging Face
RAG-powered knowledge assistant built with FastAPI, OpenAI, and vector databases for enterprise document retrieval.
Healthcare-focused AI assistant capable of answering questions from medical reports and research documents with source citations.
Agentic AI chatbot integrated into my portfolio using Pinecone, RAG, streaming responses, and intelligent lead capture.
Fine-tuning workflow using Hugging Face PEFT, LoRA, and QLoRA techniques for domain adaptation.
Core
Python FastAPI LangChain LangGraph
Framework
OpenAI SDK (python) Crew AI Auto Gen MCP
LLMs & GenAI
OpenAI Hugging Face Ollama Groq NVIDIA NIM
Vector DBs & RAG
FAISS ChromaDB LlamaIndex
ML & Deep Learning
PyTorch Scikit-learn Pandas NumPy
Infrastructure
Docker Git Linux Streamlit
Databases
MySQL MongoDB PostgreSQL
- 🔨 Building production-grade Agentic AI systems using LangGraph and tool-calling LLMs
- 📚 Pursuing PG in AI & ML at IIIT Bangalore (2025–2026)
- 🧠 Exploring multi-agent orchestration and autonomous AI workflows
- 🏅 NVIDIA — Prompt Engineering & Data Analysis
- 🏅 AI Engineer Core Track — LLM Engineering, RAG, QLoRA, Agents
- 🏅 Machine Learning — Modern Computer Vision & Generative AI
- 🏅 Generative AI Essentials
- 🏅 SQL (Basic) — HackerRank
"Building AI systems that move beyond demos and solve real-world problems, and teach others to think with them."