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Utkgitdev-07/README.md

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Hi ๐Ÿ‘‹, I'm Utkarsh Yadav

I am Utkarsh, a passionate and creative developer from ๐Ÿ‡ฎ๐Ÿ‡ณ who loves building intelligent systems that can think, reason, and act autonomously.
utkgitdev-07


I specialize in Generative AI, Agentic AI, and Retrieval-Augmented Generation (RAG) โ€” developing AI agents that combine reasoning with real-world context. My work often involves orchestrating LLMs using LangChain and LangGraph, backed by vector databases and scalable cloud deployment pipelines.

I โค๏ธ transforming abstract AI ideas into working systems โ€” whether itโ€™s creating context-aware RAG chatbots, autonomous research agents, or end-to-end ML workflows. With hands-on experience in AWS, Docker, Flask, and GitHub Actions, I ensure every project I build is scalable, reproducible, and deployment-ready.

My technical interests span LLM orchestration, MLOps/LLMOps, NLP, and Computer Vision, grounded in a solid understanding of statistics, linear algebra, and probability. I thrive at the intersection of data, reasoning, and production engineering โ€” turning experimental AI into reliable systems.

Beyond development, Iโ€™m an active community contributor โ€” serving as a core member of JUET JDSC and former GDSC Coordinator, where Iโ€™ve led workshops and hackathons on emerging AI technologies and open-source innovation.

๐Ÿš€ Currently exploring opportunities in Generative AI, LLM Applications, and Cloud-based AI Systems โ€” always eager to collaborate, innovate, and build something truly intelligent.

utkgitdev-07

โšก Skills:

Animation

๐Ÿงฉ Programming Languages

C C++ Java Python

๐Ÿ“ฆ DevOps & Version Control

Git GitHub Docker

๐Ÿค– AI & ML Stack

PyTorch TensorFlow scikit-learn OpenCV Seaborn Pandas

๐Ÿง  Generative AI & Agentic AI

LangGraph Pinecone RAG Agentic AI

๐Ÿ”ง MLOps & LLMOps

GitHub Actions AWS

๐Ÿ—„๏ธ Databases

MongoDB MySQL PostgreSQL

๐ŸŒ Backend Frameworks

Flask

๐Ÿ“Š Github Stats

Top Languages GitHub Stats

๐Ÿ“ซ How to reach me?

โฆฟ Follow me on Kaggle ๐ŸŒ: Kaggle
โฆฟ Connect with me on LinkedIn ๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป: LinkedIn
โฆฟ Follow me on Twitter ๐Ÿฆ: Twitter
โฆฟ Shoot Me an Email ๐Ÿ’Œ: utkarshyadav72a@gmail.com

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  1. Synapse-AI Synapse-AI Public

    Production-ready AI Agent SaaS platform built with FastAPI, Next.js, Gemini, Groq, Supabase, and RAG. Features agentic workflows, real-time streaming, web search, OAuth integrations, and human-in-tโ€ฆ

    Python

  2. RAG-Framework-for-Academic-Literature-Navigation RAG-Framework-for-Academic-Literature-Navigation Public

    A Retrieval-Augmented Generation (RAG) framework for academic literature navigation using semantic search, metadata-aware retrieval, and topic clustering to improve research discovery and exploration.

    Python

  3. Medical-Chatbot-RAG Medical-Chatbot-RAG Public

    Developed an intelligent medical chatbot using Retrieval-Augmented Generation (RAG) and Generative AI to deliver accurate, context-aware medical responses. Integrated LangChain, Pinecone, and OpenAโ€ฆ

    Jupyter Notebook

  4. Object-Tracking-Using-DeepSORT-and-YOLOv5 Object-Tracking-Using-DeepSORT-and-YOLOv5 Public

    This project implements object tracking using DeepSORT and YOLOv5. The pipeline combines YOLOv5 for object detection and DeepSORT for object tracking to process video files and generate outputs witโ€ฆ

    Jupyter Notebook

  5. Sign-Language-Detection Sign-Language-Detection Public

    This project is a real-time sign language recognition system that uses OpenCV, Mediapipe, and an LSTM-based neural network to detect and recognize hand gestures.

    Python 1

  6. Smart-Attendance-System Smart-Attendance-System Public

    The Smart Attendance System is a vision-based project that automates attendance tracking using computer vision and machine learning techniques.

    Python 2