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8 followers · 5 following

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Achievement: Pull Sharkx2Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pull Sharkx2Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

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MaximPodgore/README.md

Hi 👋! My name is Maxim and I'm a Machine Learning Engineer from UCSD

I've done a good amount of work using and extending LLM functionality, some AI research, and hopped between a bunch of other projects. I'm always happy to collaborate on new projects. My links are available below and my resume is available here

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  1. Groundwork-Books/gw-website-react Groundwork-Books/gw-website-react Public

    Full-stack website for Groundwork Books, using Next.js, Redis for caching, Pinecone for search, and tailwind for styling. Hosted via Vercel

    TypeScript 5

  2. ncsys-lab/dReal-clang-tidy ncsys-lab/dReal-clang-tidy Public

    C++ static analysis tool for dReal that uses a graph-based solver over LLVM ASTs to validate floating-point rounding mode preconditions, detect contradictions, and generate structured JSON outputs …

    LLVM 1

  3. SD-AI-Hackathon/AztecPlanner SD-AI-Hackathon/AztecPlanner Public

    AztecPlanner is an AI-powered academic planner that uses React + Vite + Tailwind on the frontend and a FastAPI backend with ChromaDB, LiteLLM, and a custom RAG pipeline for degree audit analysis, s…

    JavaScript 4

  4. RippleEdits RippleEdits Public

    Forked from edenbiran/RippleEdits

    Ripple Edits Benchmark extended for SingularityNET's graphRAG system. Evaluates the effects of knowledge editing in RAG systems

    Python 1

  5. TuRBO-O TuRBO-O Public

    Improving the Turbo Algorithm by adding a global kernel updated via Deep Kernel Learning, and the addition of the Upper Confidence Bound Algorithm for better exploration/exploitation

    Python 2

  6. Research-UCSD/RedShift Research-UCSD/RedShift Public

    Extending the Distract Large Language Models for Automatic Jailbreak Attack paper by integrating chain-of-thought prompting and implementing Fastchat support for new models

    Python 2