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Achievement: Pull Sharkx2Achievement: YOLOAchievement: Quickdraw

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karishmathakrar/README.md

AI engineer and researcher building interpretable, production-ready AI systems with real-world impact. I work across agentic RAG, multimodal learning, and graph ML, with a focus on evaluation and deployment practices that make systems reliable, explainable, and safe.

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  1. arc-mediqa-magic-2025 arc-mediqa-magic-2025 Public

    A comprehensive medical image analysis pipeline for dermatological question answering using multi-modal large language models, featuring fine-tuning, reasoning layers, and agentic RAG systems.

    Python 2 2

  2. dsgt-arc/qclef-2025-clustering dsgt-arc/qclef-2025-clustering Public

    Repository for the Clustering Task (Task 3) of Quantum CLEF 2025.

    Python 2

  3. stargazers stargazers Public

    This project explores social networks of developers using the GitHub Stargazers dataset from the Stanford Network Analysis Project (SNAP). The dataset consists of 12,725 graphs representing develop…

    Jupyter Notebook

  4. DiffCSP_kt DiffCSP_kt Public

    Forked from jiaor17/DiffCSP

    [NeurIPS 2023] The implementation for the paper "Crystal Structure Prediction by Joint Equivariant Diffusion"

    Python 1

  5. End-to-End-LLM End-to-End-LLM Public

    Forked from muntasers/End-to-End-LLM

    This repository is an AI Bootcamp material that consist of a workflow for LLM

    Jupyter Notebook

  6. GreenGridPR GreenGridPR Public

    In collaboration with my classmates, Kevin Menear and Daniel Verkamp for CS 7643

    Jupyter Notebook 1