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Achievement: YOLOAchievement: Pull Shark

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Achievement: YOLOAchievement: Pull Shark

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AkashBharangar/README.md

Akash Bharangar Banner

Email • LinkedIn • GitHub • X/Twitter • Resume

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

📈 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

📫 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. ai-coding-agent ai-coding-agent Public

    Production-ready AI Coding Agent built with LangGraph, Groq, Code RAG, Tool Calling, FAISS, Tree-sitter, and Docker. Supports code understanding, retrieval, editing, terminal execution, and debugging.

    Python

  2. ai-shopping-assistant ai-shopping-assistant Public

    AI-powered shopping assistant that compares products, analyzes customer reviews, and delivers personalized recommendations using Groq, LangChain, and Streamlit.

    Python

  3. ai-resume-reviewer ai-resume-reviewer Public

    AI-powered Resume Reviewer using Groq & Llama 3.3 that analyzes PDF resumes, generates ATS scores, identifies missing keywords, and provides actionable improvement suggestions.

    Python

  4. AI-YouTube-Video-Summarizer AI-YouTube-Video-Summarizer Public

    AI YouTube Video Summarizer built with Python, Groq API, and Llama 3.3. Automatically extracts transcripts and generates structured summaries, key insights, and action items using Prompt Engineerin…

    Python

  5. local-rag-pdf local-rag-pdf Public

    A production-ready Local PDF RAG application built with Python, Groq, ChromaDB, and HuggingFace Embeddings for semantic document search and grounded question answering.

    Python

  6. website-qa-rag website-qa-rag Public

    A GenAI-powered Website Q&A system built using RAG (Retrieval-Augmented Generation). Users can input any URL and ask questions about its content. The system uses web scraping, embeddings, vector se…

    Python