Skip to content
View Swainakash0799's full-sized avatar
🎯
Focusing
🎯
Focusing
2 followers · 1 following

Achievements

Achievement: Quickdraw

Achievements

Achievement: Quickdraw

Highlights

  • Pro

Block or report Swainakash0799

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
swainakash0799/README.md

Hi 👋, I'm Akash Swain

AI Engineer  |  Generative AI  |  Agentic AI  |  Data Science

🎓 National Institute of Technology, Rourkela

About Me

  • 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.

🛠️ Tech Stack

🚀 Featured Projects

Advanced RAG Assistant

🔗 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 • ChromaDB • Crossencoder • Streamlit • Groq LLM

ResearchFlow AI System

🔗 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 • LangChain • Groq LLM • Tavily

📈 GitHub Statistics

💻 Coding Profiles

🌐 Connect With Me

🐍 Contribution Snake

GitHub Contribution Snake

"Building intelligent AI systems that solve real-world problems."

Pinned Loading

  1. ResearchFlow-AI-System ResearchFlow-AI-System Public

    An AI-powered multi-agent research platform that automates web search, content extraction, report generation, and report evaluation through a collaborative agent pipeline.

    Python 2

  2. Automated-Data-Analyst Automated-Data-Analyst Public

    AI-powered data analysis assistant that turns CSV and Excel datasets into meaningful insights using Python, Pandas, LangChain, and Groq.

    Python

  3. IntelliDocs-AI-Advanced-RAG-Assistant IntelliDocs-AI-Advanced-RAG-Assistant Public

    AI-powered Advanced Hybrid RAG for intelligent knowledge retrieval.

    Python 2

  4. Retail-Customer-Behaviour-Analytics Retail-Customer-Behaviour-Analytics Public

    Retail customer behavior analytics project featuring data preprocessing with Python, SQL-based business analysis in PostgreSQL, and interactive Power BI dashboards for data-driven decision-making.

    Jupyter Notebook 1

  5. Hybrid-RAG-Assistant Hybrid-RAG-Assistant Public

    Hybrid RAG Assistant using Vector Search, BM25, and Cross-Encoder Reranking with persistent ChromaDB, Docker, and AWS EC2 deployment.

    Python 2

  6. Movie-Recommendation-System Movie-Recommendation-System Public

    A content-based movie recommendation system that uses cosine similarity to find and suggest similar movies.

    Jupyter Notebook