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Coffee. Code. Repeat.
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Coffee. Code. Repeat.

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Vedant-Git-dev/README.md
Vedant Pardeshi



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I like building AI and machine learning projects that solve real problems and help me learn by doing. Currently exploring agentic AI, automation and open source while constantly trying to build something better.


Projects worth a closer look

A few things I've built that say more about how I think:



Things I work with

Languages, frameworks and tools that show up across my repositories and day to day work.


Languages



AI & ML Frameworks



Data Science & Visualization



Web & Application Frameworks



DevOps & Tools


Contribution graph

I care more about steady progress, and this graph is usually a fair reflection of that.


Thanks for reading this far. If any of this overlaps with something you're working on, feel free to reach out.



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  1. AdaptiveEvidenceDistillationEngine AdaptiveEvidenceDistillationEngine Public

    A context optimization layer that extracts, analyzes and distills evidence before frontier model reasoning.

    Python 1

  2. PhiCraft PhiCraft Public

    LLM-powered Minecraft agent with autonomous mining, crafting, farming, navigation, combat, memory, multi-step reasoning, and advanced recursion using a fine-tuned Phi-3 model.

    JavaScript 2

  3. RAG-Optimizer RAG-Optimizer Public

    This project builds an automatic RAG configuration optimizer that selects the best retrieval and generation setup for a given question.

    Jupyter Notebook 2

  4. MultiAgentDebugger MultiAgentDebugger Public

    Multi agent system that analyzes why a ML model is not performing well. Different agents examine metrics, data distribution, error patterns, and feature importance. They combine their findings to i…

    Python 2

  5. RadiantAI RadiantAI Public

    Built an AI assisted chest X ray screening system using deep learning and a Model Context Protocol based decision layer to prioritize sensitivity, handle uncertainty, and provide explainable output…

    Jupyter Notebook 2