Cynthia Hom is a software engineer based in Cupertino with nine years of experience building backend systems and applying machine learning in production and research settings. She currently works at Otter.ai after impactful engineering roles at Stripe where she reduced critical RPC p99 latency and implemented CDC migrations, and internships that combined ML analysis at eBay with applied systems work at Medtronic and UCSC. A Harvey Mudd CS graduate, Cynthia has co-authored conference papers from her AMISTAD Lab research and proved a novel theorem enabling new two-distribution hypothesis test applications. She enjoys tackling elusive bugs and thorny research problems, pairing curiosity-driven experimentation with pragmatic engineering. Outside of work she re-learns piano, hikes, and plays tennis—habits that mirror her iterative, persistent approach to complex problems.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Harvey Mudd College
Web app that applies a filter to a live incoming video feed using a neural network trained to detect facial features.
Contributions:59 commits, 4 PRs, 15 pushes in 6 months
facial-featurespythonflaskvideotensorflow
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