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Nitesh-lng/README.md

Nitesh Kumar πŸ‘‹

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🧭 About Me

I'm an AI Engineer & Data Scientist with 3.5+ years of experience building production-grade AI systems β€” LLM-powered agents, scalable RAG pipelines, and custom transformer-based NLP models. I write my own code end-to-end, from FastAPI backends to LangGraph agent graphs to deployment.

  • πŸ”­ Currently building β€” SattvikBhojnam, a full-stack cloud-kitchen platform, plus its dedicated 6-agent AI microservice
  • 🌱 Learning β€” advanced LangGraph patterns, tools/function-calling, and memory persistence
  • πŸ’¬ Ask me about β€” LLM agents, RAG systems, applied NLP, FastAPI
  • ⚑ Off-hours β€” maintaining a daily DSA streak on NeetCode (Python)
  • πŸ“« Reach me β€” email / LinkedIn above

πŸš€ Featured Projects

🌟 Flagship

🍲 SattvikBhojnam β€” Full-Stack Cloud Kitchen Platform

Production platform for a premium sattvic cloud kitchen. FastAPI + PostgreSQL backend with Redis + Celery for async workflows, Next.js 14 frontend, live kitchen streaming, OTP auth, and full order + delivery management.

FastAPI PostgreSQL Redis Celery Next.js

πŸ”— sattvikbhojnam.com Β· Backend Β· Frontend

πŸ€– SattvikBot β€” Agentic AI Microservice

Standalone LLM microservice powering the platform. 6-agent LangGraph supervisor–specialist system (Router, Menu, Order, Schedule, Seva, General) with GPT-4o / GPT-4o-mini tiered routing, FAISS RAG, a Redis + PostgreSQL two-tier memory layer, and SSE streaming.

LangGraph OpenAI FAISS Redis SSE

πŸ”— sattvikbot-ai-service

πŸ’¬ PromptManagement-Chatbot

Multi-agent support bot with a supervisor router + 4 specialist agents, a versioned prompt registry, and MessagesPlaceholder-based conversational memory. A clean demonstration of production prompt management with LangChain.

LangChain Python License

πŸ”— github.com/Nitesh-lng/PromptManagement-Chatbot

πŸ“¦ More Projects

  • LangGraph AI Agent β€” Multi-LLM agent with tool use & live web search. LangGraph Β· Groq Β· OpenAI Β· Tavily β†’ repo
  • RAG-PDF-DeepSeek β€” Document-based RAG pipeline. LangChain Β· FAISS Β· DeepSeek β†’ repo
  • Fine_Tuning_PyTorch β€” Fine-tuning experiments in pure PyTorch (DistilBERT, LSTM) + a transformer built from scratch. PyTorch Β· HuggingFace β†’ repo

πŸ› οΈ Tech Stack

Languages Β  Python TypeScript SQL

LLM & Agents Β  LangChain LangGraph OpenAI Groq FAISS

ML & Data Β  PyTorch TensorFlow Hugging Face scikit-learn NumPy Pandas

Backend Β  FastAPI PostgreSQL Redis Celery

Frontend Β  Next.js Tailwind shadcn/ui

DevOps & Cloud Β  Docker Git AWS


πŸ“Š GitHub Stats


πŸ”₯ Contribution Streak


πŸ“ˆ Activity Graph


πŸ“« Connect


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

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

    Python 1

  3. pharma-chat-intelligence pharma-chat-intelligence Public

    πŸ’Š 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

  4. 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

  5. PromptManagement-Chatbot PromptManagement-Chatbot Public

    A mini e-commerce chatbot built with LangChain/LangGraph, featuring a comprehensive prompt management system.

    Python 1

  6. llm-prompt-design-lab llm-prompt-design-lab Public

    A hands-on project demonstrating prompt design and usage techniques for large language models (LLMs) using LangChain, Groq (LLaMA 4), and Streamlit. Includes examples of structured prompts, dynamic…

    Python 2