Aidan Abdulali

Founding Engineer at Latch Bio

San Francisco, California, United States
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Summary

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Rockstar
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Top School
Aidan Abdulali is a founding engineer with seven years of experience building machine learning-driven product systems from research to production in the San Francisco Bay Area. Currently at Latch Bio, he brings a blend of hands-on ML engineering and startup pragmatism honed through prior roles at Robust.AI and a software engineering stint at NASA. His background includes leading ML education initiatives at Berkeley, publishing peer-reviewed work on image-analysis pipelines, and optimizing particle classification to sub-15ms—an early sign of his focus on performant, practical algorithms. Comfortable bridging research and product, he has repeatedly shipped applied ML solutions in robotics, biotech, and scientific imaging.
code7 years of coding experience
job2 years of employment as a software developer
bookBachelor's degree (unfinished) Math and Computer Science, Bachelor's degree (unfinished) Math and Computer Science at University of California, Berkeley
bookHigh School Diploma, High School Diploma at The Packer Collegiate Institute
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Github Skills (58)

schema-migrations9
python9
decal9
schema-changes9
yolov49
bioinformatics9
object-detection9
computer-vision9
developer-tools8
deep-learning8
linux8
postgresql8
neural-network7
windows7
ubuntu7

Programming languages (10)

HCLJavaShellCJavaScriptGoJupyter NotebookGroovy

Github contributions (5)

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latchbio/sysbox-eks-ami

Feb 2023 - Sep 2025

Sysbox on Ubuntu AWS EC2 AMI for EKS nodes
Contributions:1 review, 12 PRs, 92 pushes in 2 years 6 months
awsubuntu
latchbio/latch-base

May 2022 - Nov 2024

base container images for latch tasks
Contributions:1 review, 12 pushes, 1 branch in 2 years 5 months
container-image
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