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.
7 years of coding experience
2 years of employment as a software developer
Bachelor's degree (unfinished) Math and Computer Science, Bachelor's degree (unfinished) Math and Computer Science at University of California, Berkeley
High School Diploma, High School Diploma at The Packer Collegiate Institute
Contributions:10 PRs, 82 pushes, 7 branches in 2 years
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