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Mpasha17/README.md

Hi, I'm Mahaboob 👋

AI engineer in Bangalore. I work on LLM agents and reasoning, and lately I've been training small models with RL to see how far I can get on free GPUs.

Right now I'm at Mea, working on LLM extraction for insurance documents: prompt tuning, digging through model outputs and Lambda logs, and helping build an agent that writes prompts from entity descriptions.

Open source

I contribute to Graphify, a tool that turns codebases into knowledge graphs. My fixes there have shipped in releases: C# call resolution through casts, Scala context bounds, edge direction in graph diffs, and a few extractor bugs.

What I use

Python, PyTorch, Hugging Face (TRL, PEFT, LoRA/QLoRA), LangChain/LangGraph, RAG and vector DBs, SQL, Docker, AWS and Azure.

Reach me

LinkedIn · mp5272672@gmail.com · open to ML/AI engineering roles

Pinned Loading

  1. Reinforcement-Learning-for-LLM-Agentic-Reasoning Reinforcement-Learning-for-LLM-Agentic-Reasoning Public

    Reproducing DeepSeek-R1 style emergent reasoning using GRPO — training LLMs to think, use tools, and self-improve through Reinforcement Learning. Built from scratch on free Kaggle GPUs.

    Jupyter Notebook

  2. AI-Powered-Financial-News-Intelligence-System AI-Powered-Financial-News-Intelligence-System Public

    LangGraph multi-agent pipeline with RAG that turns financial news into structured, ticker-mapped insights

    Python

  3. Agentic-Ai-Excel-interviewtaker Agentic-Ai-Excel-interviewtaker Public

    Python

  4. Vehile-Insurance Vehile-Insurance Public

    Jupyter Notebook 1

  5. RewardChain RewardChain Public

    Python

  6. support-copilot-agent support-copilot-agent Public

    Python