Mehmet Ugurbil
Lead Machine Learning Engineer at Hilbert's AI
United States
Summary
👤
Senior🎓
Top SchoolMehmet Ugurbil is a software engineer with 11 years of experience bridging research and production, currently building infrastructure at Google after leading ML efforts at startups and major platforms. He has delivered large-scale systems used by billions, improved revenue with targeted ML models, and integrated comment signals into YouTube’s recommendation pipelines to boost watch time. His research contributions in privacy-preserving ML include novel algorithms that cut private LLM inference time and retrieval latency, and he has published work exposing information leakage in split learning. Comfortable across systems, signal processing, and applied ML, he has a math-heavy background (MSc, NYU) and a track record of turning theory into practical, cost-saving optimizations (e.g., 80% training-time reduction and 60% cost savings at Hilbert’s AI). Notably, he built core mathematical libraries for privacy-preserving systems, blending cryptography, linear algebra and signal processing to enable real-world private RAG deployments.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Arts (B.A.) Mathematics Physics, Bachelor of Arts (B.A.) Mathematics Physics at Lake Forest CollegeMaster of Science (MSc) Mathematics, Master of Science (MSc) Mathematics at New York UniversityHigh School Science, High School Science at Robert CollegeLeadership, Leadership at NOLS
English, Turkish
Stackoverflow
33reputation
0reached
1answer
0questions
Github Skills (4)
integer6
syntax6
python6
literals6
Github contributions (5)
mugurbil/deepLearningA1_Model
Mar 2015 - Jan 2018
Contributions:4 pushes, 1 branch in 2 years 10 months
mugurbil/deepLearningA4
Apr 2015 - Jul 2018
Contributions:9 pushes, 1 branch in 3 years 2 months
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