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  • Chartbeat
  • Brooklyn, NY

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Dreeseaw/README.md

Hi there 👋

I'm a software engineer who loves making data go fast (safely!). Interested in database internals, ML concepts, and optimizing/evaluating agentic systems.

Open Source Work

Personal Projects

Maintainer

Misc stuff

  • Published ML research on improving JPEG image quality as a research assistant
  • A Google Cloud Function for Twitch chat to trigger a streamer's smart lights using webhooks (built live on stream!)

ML Research Projects

My home-cooked VQA model inspired a litany of other ML project ideas, which I've made the decision to store under one GitHub organization, Cothogonal due to them being tightly-coupled subtrees from a main, private repo, allowing me to hide all my personal junk docs and only publish clean, readable source repos.

  • SGOCR is an open-source, spatially-grounded, OCR-focused dataset generation pipeline for turning images with text in them (documents or natural scenes). A 6k sample has been published on Hugging Face for free use.

Reach me at

Pinned Loading

  1. vqafromscratch vqafromscratch Public

    home-cooked vqa model

    Python 1

  2. Sector-Rotation-RNN Sector-Rotation-RNN Public

    A simple, self-coded recurrent neural network that uses weekly changes in 10 major sector ETFs to predict which sectors will grow in the coming weeks.

    Python 17 12

  3. kelindar/column kelindar/column Public

    High-performance, columnar, in-memory store with bitmap indexing in Go

    Go 1.5k 67

  4. cothogonal/sgocr-dataset-pipeline cothogonal/sgocr-dataset-pipeline Public

    SGOCR: Structured OCR spatial QA dataset pipeline

    Python 1