Tom Gotsman is a founding engineer based in San Francisco with five years of experience building AI-driven and web-native products, currently focused on advancing Python web app development at Reflex.dev. He previously led generative AI research at Synthesia and co-founded SoLo Protocol, where he fused on- and off-chain data with ML to enable under-collateralized lending. Tom combines strong academic credentials—a first-class degree from Oxford and an MSc with Distinction in AI from Imperial College—with hands-on engineering, contributing UI and framework improvements to the open-source reflex project. Comfortable across full-stack development, research, and startup leadership, he has a track record of shipping product-facing features and addressing tricky edge-case bugs. A not-obvious thread through his career is applying rigorous scientific training (including fuel-cell research at UC Berkeley) to practical ML and decentralized finance problems.
4 years of coding experience
3 years of employment as a software developer
Research Abroad Chemistry, Research Abroad Chemistry at University of California, Berkeley
Master's degree (Graduated with highest 1st Class honours) Chemistry, Master's degree (Graduated with highest 1st Class honours) Chemistry at University of Oxford
MSc Artificial Intelligence, MSc Artificial Intelligence at Imperial College London
Contributions:51 reviews, 52 PRs, 119 pushes in 2 years 2 months
Contributions summary:Tom primarily focused on enhancing the `reflex-dev/reflex` repository, which is a web app framework built with Python. They added a data table demo template showcasing UI components and data handling using Python code. The user also implemented a new `no_of_lines` property for text components and made several updates to the Radix Themes components, further improving the framework's UI capabilities. Furthermore, the user addressed bugs and made improvements in the code related to variable handling and component properties.
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