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Nitesh-lng/README.md

Nitesh Kumar 👋

AI Engineer • Data Scientist • LLM & Agentic AI Specialist

Executive Summary

I am an AI Engineer & Data Scientist with 2+ years of experience building production-grade AI systems,
LLM-powered agents, scalable RAG pipelines, and custom transformer-based NLP models.

My specialization includes:

  • LLMs & Agentic AI (LangGraph, LangChain)
  • Groq + HuggingFace + OpenAI integrations
  • Advanced RAG systems (FAISS, LlamaIndex)
  • Custom GPT-like transformer model development
  • Realtime inference, deployment, and optimization (FastAPI + AWS)

Featured Projects

1. LangGraph AI Agent (Flagship)

Multi-LLM agent system using LangGraph, Groq, OpenAI & Tavily search.
https://github.com/Nitesh-lng/langgraph-ai-agent

2. RAG-PDF-DeepSeek

Document-based RAG pipeline using LangChain + FAISS + DeepSeek.
https://github.com/Nitesh-lng/RAG-PDF-DeepSeek

3. Fine_Tuning_PyTorch

Fine-tuning experiments in pure PyTorch.
https://github.com/Nitesh-lng/Fine_Tuning_PyTorch

Tech Stack

GitHub Stats

Contribution Streak

Activity Graph

Contact & Links

Building AI agents that think, reason, and deliver at scale

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  1. financial-ai-playground financial-ai-playground Public

    An AI-powered system using Groq for model inference and Phi framework. It integrates YFinance for financial data (stock prices, analyst recommendations) and DuckDuckGo for web research. Built with …

    Python 2

  2. Fine_Tuning_PyTorch Fine_Tuning_PyTorch Public

    Jupyter Notebook 1

  3. Hyperparameter-Tuning-with-Optuna Hyperparameter-Tuning-with-Optuna Public

    Jupyter Notebook 1

  4. langgraph-ai-agent langgraph-ai-agent Public

    LangGraph-based AI chatbot with FastAPI backend, Streamlit frontend, and optional web search.

    Python 1

  5. pharma-chat-intelligence pharma-chat-intelligence Public

    💊 An intelligent pharmacy-focused chatbot using LangChain, FAISS, and Mistral-7B to answer medical and drug-related questions from custom PDF documents. Built with Streamlit and Hugging Face.

    Python 1

  6. RAG-PDF-DeepSeek RAG-PDF-DeepSeek Public

    A Streamlit-based Retrieval-Augmented Generation (RAG) application using DeepSeek, FAISS, and LangChain to answer natural language questions from uploaded PDF documents.

    Python 3