Summary
Yaateh Richardson is a Founding ML Engineer with nine years of experience building production ML systems and full-stack software, currently developing a web app for MIT students and sharing progress on a public GitHub repo. He has strong industry pedigree from Instagram—where he focused on ranking models and private ML—and now leads stealth ML efforts at Talvy. Yaateh’s background blends rigorous research (M.Eng work in PrivacyML and Camera Culture at MIT CSAIL, SuperUROP award-winning research on Learned Bloom Filters) with hands-on engineering across C++, Java, Python, and modern web stacks. He’s comfortable shipping at scale, from backend infrastructures at Facebook to frontend and backend roles at Google and enterprise internships. Notably, he pairs applied privacy research with product-minded ML engineering, making him adept at deploying privacy-conscious ranking and recommendation systems. Based in Cambridge, he combines academic depth with startup velocity to drive ML products from prototype to production.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Massachusetts Institute of Technology