- Passionate about building AI applications powered by Large Language Models.
- Interested in Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and Machine Learning.
- Building end-to-end AI systems using LangChain, LangGraph, FastAPI, and modern LLM frameworks.
- Currently exploring AI Infrastructure, MLOps, LLM Evaluation, and scalable AI deployment.
- Open to collaborating on AI, LLM, Open Source, and research-driven projects.
π Repository:
https://github.com/Swainakash0799/IntelliDocs-AI-Advanced-RAG-Assistant
- Advanced Retrieval-Augmented Generation system.
- Hybrid Search (Vector + BM25)
- Multi-document support
- Source citations
- Metadata filtering
- Conversation memory
Tech Stack
LangChain β’ ChromaDB β’ Crossencoder β’ Streamlit β’ Groq LLM
π Repository:
https://github.com/Swainakash0799/ResearchFlow-AI-System
- Multi-Agent AI Research Assistant
- Automated Web Research
- Intelligent Content Summarization
- AI Agent Workflow using LangGraph
Tech Stack
LangGraph β’ LangChain β’ Groq LLM β’ Tavily
"Building intelligent AI systems that solve real-world problems."
