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charliegillet/README.md

Hey, I'm Charlie

Data Science Intern at Geopogo, building computer vision pipelines for automated building code compliance.

UCSD Data Science '25 grad, currently focused on applied ML and AI.

What I'm working on:

Tools I use most: Python, NumPy/pandas, scikit-learn, PyTorch

LinkedIn

Email: charlie.gillet1@gmail.com

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  1. CodeComplianceAI-CV CodeComplianceAI-CV Public

    YOLO-based CV pipeline for automated ADA/AODA building code compliance

    Python

  2. LVM-Neural-Data-Analysis LVM-Neural-Data-Analysis Public

    Latent variable models for neural population data analysis (UCSD capstone)

    Jupyter Notebook 1

  3. PromptInj-Detection PromptInj-Detection Public

    LLM prompt injection detection eval harness across 14 attack categories

    Python

  4. rocketride-org/rocketride-server rocketride-org/rocketride-server Public

    High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, al…

    C++ 1.7k 39

  5. anananan116/TinyVLM anananan116/TinyVLM Public

    Jupyter Notebook 8 1

  6. nihalnihalani/Pager0 nihalnihalani/Pager0 Public

    Python