Jose Picado is a Staff Software Engineer based in the San Francisco Bay Area with a decade of experience building production systems and leading engineering teams across fintech and AI-informed products. He has moved between individual contributor and manager roles at Cash App/Afterpay and now drives technical work at Speak, combining product-oriented engineering with operational rigor. His background includes a PhD in Computer Science and research on databases and machine learning, with a SIGMOD paper on cloud database survivability from his Microsoft internship. Jose has deep experience shipping scalable backend systems and has bridged research and production through projects like Castor and CastorX that learn over relational and heterogeneous databases. He brings a blend of academic rigor, hands-on engineering, and leadership that helps teams turn complex data and ML problems into reliable services. An understated strength is his history of translating research prototypes into deployed features across both startups and large platforms.
10 years of coding experience
7 years of employment as a software developer
B.S., Computer Science, B.S., Computer Science at Tecnológico de Costa Rica
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Oregon State University
M.S., Computer Science, M.S., Computer Science at Wake Forest University
Contributions:227 commits, 19 pushes, 1 branch in 3 years 1 month
relational-learningcastorreactrelational
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