About Me

I write about Machine Learning, Analytics and Start-Ups at https://medium.com/@george.pearse

I studied Physics, then I became a Data Engineering Consultant (Flask + SQL + AWS for orchestration), then I joined a Computer Vision start-up (behold.ai) where I've done a mixed bunch. Set-up the Modern Data Stack but also focused on data-centric-ai via active learning (pytorch-lightning and BAAL) and corrupt sample discovery (cleanlab esk techniques). I've also recently become much more involved in the MLOps community.

Soon to be joining BinIt as Lead ML Engineer. https://binit.ai/

GitHub Metrics

Featured Projects

| Project | Description | | -------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------- | | squeeze | Dimensionality reduction research platform in Rust - modular implementations of various techniques with benchmarking | | tinify | Deep learning image compression research and implementation - exploring neural network approaches to image compression | | bayesian_filters | Python Kalman filtering and optimal estimation library with Kalman, particle, EKF, UKF, and more | | QDrant-NLP | Lightweight UIs and tooling for the QDrant vector database | | ImageComposer | Package to simplify creating synthetic image datasets - specify backgrounds and foregrounds, the package does the rest | | optillm-rs | A Rust port of optillm for use with AI coding agents |

I'm currently working on:

• Streamlit app for business intelligence (save SQL for transformations, plotly code for plotting).
• Quickdraw app via Streamlit (to try out some computer vision ideas).
• Active Learning via bagged ensemble disagreement.
• Lightweight UIs for the QDrant Vector Database (and all things QDrant because they build excellent tools) https://github.com/GeorgePearse/QDrant-NLP
• Multi-modal ML tools.

Blogs posts

• How to use Modal without an exploding GPU bill
• The Missing Terminology of Data Centric AI
• How to train a model with MMDetection
• Data Engine Design
• Quick NLP Labelling with Bulk

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