- 🤖 Agentic Workflows & MCP: Building stateful multi-agent loops with LangGraph and PydanticAI, and creating Model Context Protocol (MCP) tools.
- 🧠 RAG & Search: Setting up hybrid vector search (Milvus, Pinecone, AstraDB) and GraphRAG with Neo4j so LLMs give real answers instead of guessing.
- 💻 Full-Stack & Backend: Writing clean APIs and services in Python (FastAPI / Flask), Java (Spring Boot), and frontend in React / Next.js / TypeScript.
| Domain | Technologies |
|---|---|
| Generative AI & Agents | LangGraph, PydanticAI, LangChain, Google GenAI SDK (ADK), MCP (Model Context Protocol), Ollama, Hugging Face |
| Vector DBs & Knowledge Graphs | Milvus, Neo4j, Pinecone, ChromaDB, AstraDB, FAISS |
| Backend & Cloud | Python (FastAPI/Flask), Node.js, Spring Boot, GCP, Docker, Kubernetes, PostgreSQL, MongoDB |
| Frontend & UI | TypeScript, React.js, Next.js, TailwindCSS, GSAP |
| Project | Description | Live / Stack |
|---|---|---|
| Autonomous Refund Agent | Complete automated refund & dispute customer support agent with policy validation, fraud guardrails, and admin dashboard. | FastAPI, LangGraph, SQLAlchemy, Docker |
| Autonomous Deep Research Agent | Multi-agent research assistant with query planning, iterative web/vector search, critic review loops, and a React UI. | Python, LangGraph, FastAPI, React, Qdrant |
| Nutrino AI | Full-stack AI nutrition tracker with meal recognition, macro calculator, medical lab report parser, and cross-platform mobile/web UI. | FastAPI, React, Capacitor, PostgreSQL |
| Agentify MCP Builder | Tool suite & scaffolding for Model Context Protocol servers and agent tools. | TypeScript, Node.js, MCP |
| Doctor Kube AI | Automated diagnosis and troubleshooting engine for Kubernetes cluster workloads. | Python, LangGraph, K8s |
| ProteinKart MCP Toolkit | Custom agent tool suite utilizing Model Context Protocol and Google Agent Development Kit. | Python, Google ADK, MCP |
| GenAI Cookbooks & Experiments | Master monorepo containing 19+ curated RAG architectures, LangGraph agents, and fine-tuning labs. | Python, LangGraph, RAG, Neo4j |
| Deep Learning & ML Labs | Neural networks from scratch, RNN/LSTM sequence models, MLflow experiment pipelines. | PyTorch, TensorFlow, NumPy, MLflow |
| Foundations & Practice Archive | Core computer science fundamentals, DSA challenges, and web architecture foundations. | Python, JavaScript, DSA |