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Achievement: YOLOAchievement: Pull Shark

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Achievement: YOLOAchievement: Pull Shark

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WillEdgington/README.md

Self-taught software engineer. I build across the stack and go deep when something interests me, from data pipelines and machine learning to full-stack web applications.

What I am currently working on

  • football-kick-tracker: computer vision pipeline to track player kick frequency from video across a training session, built for sports performance analysis. (in progress)
  • Learning C (c-curriculum): self-directed C curriculum. building a JSON parser, HTTP server, shell, neural network, and interpreter from scratch.
    • Completed Projects: cjson

Stack

Python PyTorch JavaScript React Ruby Rails PostgreSQL Git C

📧 willedge037@gmail.com  |  🔗 LinkedIn

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  1. football-torch-project football-torch-project Public

    Deep learning football match prediction system with a custom data pipeline, sharded tensor storage and experiment tracking

    Python

  2. ImageGenTestEnv ImageGenTestEnv Public

    PyTorch research environment for implementing and evaluating VAE, GAN, DDPM and LDM generative models from scratch

    Python

  3. wheres-wally-app wheres-wally-app Public

    Full-stack photo tagging game with a decoupled Rails API and React frontend, featuring server-side guess validation and session management

    Ruby

  4. rails-social-app rails-social-app Public

    Full-stack social media platform built with Ruby on Rails, PostgreSQL and Hotwire for real-time UI updates

    HTML

  5. javascript-battleships javascript-battleships Public

    Browser-based Battleships game with an AI opponent, responsive UI and Jest unit tests

    JavaScript