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AkashBharangar/README.md

Akash Bharangar Banner

EmailLinkedInGitHubX/TwitterResume

Hi, I'm Akash Bharangar 👋

AI Engineer | GenAI Engineer | Building AI Agents, RAG Systems & Autonomous Workflows

I build production-ready AI systems powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI workflows.

🚀 Open to AI Engineer, GenAI Engineer, LLM Engineer, and Agentic AI opportunities.


💡 About Me

  • Computer Science Graduate (2024)
  • Passionate about building AI products that solve real-world problems
  • Experienced in developing RAG pipelines, AI agents, semantic retrieval systems, and LLM-powered applications
  • Strong backend engineering foundation with REST APIs, databases, and scalable architectures
  • Focused on production-ready AI systems rather than simple chatbot wrappers

🛠️ Tech Stack

AI & LLMs

LangChain RAG AI Agents Vector Databases Prompt Engineering

Languages

Python JavaScript C++

Backend & Databases

Node.js Express MongoDB PostgreSQL


🚀 Featured Projects

🌐 Website Crawlr

AI-powered website knowledge extraction and RAG system that converts websites into searchable knowledge bases.

Highlights

  • Automated website crawling and content extraction
  • Semantic search using embeddings and vector retrieval
  • ChromaDB-powered knowledge storage
  • Context-aware retrieval for grounded responses
  • End-to-end RAG architecture

Tech Python LangChain ChromaDB Sentence Transformers RAG


🤖 Research Agent

Multi-agent AI research system that autonomously gathers, analyzes, and synthesizes information.

Highlights

  • Tool-calling based agent workflows
  • Automated web research pipeline
  • Information extraction and synthesis
  • Research quality review stage
  • Modular multi-agent architecture

Tech Python LLMs AI Agents LangChain Prompt Engineering


📈 What I'm Currently Learning

  • Advanced RAG Architectures
  • Agentic AI Systems
  • Multi-Agent Orchestration
  • MCP (Model Context Protocol)
  • AI Evaluation Frameworks
  • Production AI Infrastructure

📊 GitHub Stats


🎯 Current Focus

Building Production AI Systems

User
 ↓
Retriever
 ↓
Vector Database
 ↓
LLM
 ↓
Grounded Response
Planner Agent
      ↓
Research Agent
      ↓
Reviewer Agent
      ↓
Final Output

📫 Connect With Me

📧 Email: akashbharangar10@gmail.com

💼 LinkedIn: https://www.linkedin.com/in/akash-bharangar-757440186/

🐙 GitHub: https://github.com/akashbharangar

🐦 X/Twitter: https://x.com/akaaaaashhhhh

📄 Resume: https://drive.google.com/drive/folders/182MYpC_CNeISP0jPAcrTV_zvnAxp2BKe


Thanks for visiting my profile!

If you're building AI products, GenAI applications, or agentic systems, I'd love to connect and collaborate.

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  1. ResearchAgent ResearchAgent Public

    Multi-agent AI research system that autonomously searches, extracts, synthesizes, and critiques information using tool-calling LLM agents.

    Python

  2. WebsiteCrawlr WebsiteCrawlr Public

    AI-powered website knowledge assistant that crawls websites, builds vectorized knowledge bases, and enables grounded question answering using RAG.

    Python

  3. ListifyAI ListifyAI Public

    A mern stack To-Do app integrated with Gemini AI. It not only saves To Do lists but can also generate To Dos with the help of AI.

    JavaScript

  4. YTVideoAssistant YTVideoAssistant Public

    Python