Associate Engineer transitioning into AI/LLM Application Development. I build end-to-end AI systems using modern frameworks like LangChain, CrewAI, and FastAPI. Passionate about multi-agent systems, RAG pipelines, and practical AI applications.
AI/LLM Frameworks:
- LangChain, LangGraph, CrewAI
- OpenAI API, Anthropic Claude, Google Gemini, Groq
Backend & APIs:
- FastAPI, Streamlit, Gradio
- MCP (Model Context Protocol)
Vector Databases & Tools:
- FAISS, Tavily Search
- PDF/Document Processing (python-docx, PyMuPDF)
Languages & Tools:
- Python, JavaScript
- Docker, Git
- C# (previous experience)
Multi-modal chatbot supporting vision analysis, image generation, and web search across multiple LLM providers (OpenAI, Gemini, Groq). Features tool calling integration with Tavily search.
Tech: FastAPI • OpenAI • Gemini • Groq • Tavily • Docker
Retrieval-Augmented Generation system using LangGraph and FAISS for answering questions from uploaded documents. Implements ReAct agent workflow with web search fallback.
Tech: LangGraph • LangChain • FAISS • Gradio • Tavily
Multi-agent code review system with 4 specialized agents (Bug Detector, Security Analyzer, Performance Analyzer, Documentation Reviewer) collaborating via CrewAI. Includes Streamlit UI with GitHub repo integration.
Tech: CrewAI • Streamlit • OpenAI • Multi-Agent Systems
AI-powered study assistant MCP server for Claude Desktop. Generates quizzes, flashcards, summaries, and explanations from PDF/Markdown notes.
Tech: MCP Protocol • FastAPI • OpenAI • PDF Processing
⚡ Currently exploring: Advanced multi-agent workflows and autonomous AI systems