Ajay Arasanipalai
Research Engineer at Descript
San Francisco, California, United States
Summary
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Rockstar🎓
Top SchoolAjay Arasanipalai is a research engineer based in San Francisco with eight years of applied ML and deep learning experience spanning startups, academic collaborations, and production-focused teams. He currently builds research-driven features at Descript and has previously contributed novel attention mechanisms for computer vision (WACV 2021) while maintaining core open-source repositories at Landskape. His background includes work on high-profile science projects like the Event Horizon Telescope—where he developed learning-based estimators for black hole parameters—and hands-on ML engineering roles at Metaphor and Mythic. Comfortable across research, experimentation at scale, and technical writing, Ajay blends visual intuition (loss-surface visualizations) with pragmatic system-building for both models and tooling. Notably, he has a track record of launching hundreds of distributed experiments and translating cutting-edge research into reproducible code and publishable results.
8 years of coding experience
3 years of employment as a software developer
University of Illinois Urbana-Champaign
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (97)
cnn-classification10
python10
mixnet10
certification10
deep-learning10
gpu10
nbdev10
efficientnet10
javascript10
distributed-training10
loss-functions10
imagenet10
optimizer10
fastai10
resnet10
Programming languages (12)
Github contributions (5)
iyaja/not-geoff
Dec 2019 - Feb 2022
An image classifier PWA powered by fastai and render. Made for CS 125 final project.
Contributions:3 PRs, 68 pushes, 1 branch in 2 years 2 months
renderimage-classifierpythonclassifiermachine-learning
iyaja/eve
Feb 2020 - Mar 2020
Contributions:62 commits, 52 pushes, 1 branch in 4 days
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