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pratikjadhav2726/README.md

Hey there 👋, I'm Pratik Shankar Jadhav

I'm an AI/ML Engineer who loves building practical AI systems — the kind that don't just sit on papers, but actually work in production.

By day, I’m architecting scalable LLM + RAG + Agentic AI pipelines for enterprise use cases at UNIS (3PL / Logistics AI).
By night (and sometimes weekends), I’m tinkering with GraphRAG, Neo4j-powered tool graphs, multimodal AI, and the occasional diffusion model.

Oh, and I’m also passionate about 🧮 math, 🐈 cats, and 🤖 agentic AI.

visit my website here to ask any questions to my agent on my experience and project Pratik Jadhav's Website


🛠️ What I Do

  • LLM Engineering: Fine-tuning, PEFT (LoRA, QLoRA), quantization, model distillation
  • RAG Architectures: Self-RAG, GraphRAG, RAPTOR-based retrieval, Neo4j + VectorDBs
  • Agentic AI: MCP server orchestration, LangGraph-based tool agents, dynamic tool retrieval
  • MLOps & Deployment: MLflow, Docker, Kubernetes, AWS SageMaker & Bedrock
  • Data Science: NLP, CV, RLHF, Speech Processing, Recommender Systems

🔍 Projects I’m Proud Of

  • Unified MCP Tool Graph
    GraphRAG + Neo4j + LangGraph for smarter agent tool selection.

  • MedGPT
    Multimodal LLaVA-based medical vision + text QA with HIPAA/GDPR compliance.

  • Diffusion-based TTS with D3PM
    SOTA speech synthesis + voice cloning with faster inference.

  • AG UI Chatbot Agent Generative User Interface is an advanced chatbot project designed to provide intelligent conversational experiences.


👨🏻‍💻 Past Lives

  • AI System Specialist - UNIS (2025-Present)
    Building AI-driven solutions for logistics & supply chain optimization.

  • Research Engineer & TA - CSULB (2023-2025)
    Optimizing LLMs and teaching GenAI. Also wrote a thesis on Diffusion-based TTS.

  • AI/ML Software Engineer - Cognizant (2021-2022)
    Developed pilot scheduling optimization systems for Alaska Airlines.


✨ Fun Facts

  • I’m an AI engineer who still loves pure math — topology and number theory fascinate me.
  • I’ve trained agents to pick tools smarter than some humans (I kid… or do I?).
  • I believe Agentic AI will change how we build software — one tool call at a time.
  • I have an unreasonable number of cat memes in my downloads folder.

📫 Let’s Connect


“The best AI systems feel like magic but work like math.” — probably me, during a late-night coding session.

Pinned Loading

  1. Unified-MCP-Tool-Graph Unified-MCP-Tool-Graph Public

    Instead of dumping 1000+ tools into a model’s prompt and expecting it to choose wisely, the Unified MCP Tool Graph equips your LLM with structure, clarity, and relevance. It fixes tool confusion, p…

    Python 26 4

  2. AG-UI-chatbot AG-UI-chatbot Public

    A Next.js chatbot that uses Large Language Models (LLMs) and an MCP server to generate dynamic, structured UI templates from user requests, instantly creating dashboards, tables, charts, cards, and…

    TypeScript 5 2

  3. MedGPT MedGPT Public

    MedGPT: Multimodal Large Language Model for Medical Insights:- MedGPT is an advanced multimodal system combining the power of Large Language and Vision Models (LLMs) to interpret medical images and…

    Python 4 1

  4. csulb-datascience/TTS-with-Diffusion-model csulb-datascience/TTS-with-Diffusion-model Public

    Jupyter Notebook 1 1

  5. agentverse-marketplace agentverse-marketplace Public

    An Open-Source, Decentralized Marketplace for AI Agents. Enables A2A Collaboration, Discovery, and Interoperability for Multi-Agent Systems (MAS) and LLM Agents

    TypeScript 1

  6. Research Research Public

    Welcome to the Research & Prototype Repository by @pratikjadhav2726 — a curated and expanding archive of experimental ideas, novel ML techniques, and practical research codebases designed for open …

    Jupyter Notebook 1