Alper Canberk is a Founding ML Engineer based in Mountain View with 11 years of experience building and researching machine learning systems across industry and academia. He has first-authored papers at ECCV and CoRL and contributed to robotics research including ICRA publications and real-world UR5 hardware work, reflecting a strong bridge between simulation and deployed systems. Recent roles include large-scale video modeling at Snap and founding ML engineering at Sunday, where he focuses on taking research-grade models into production. His background spans generative computer vision, robot learning, and internet-scale pretrained models for practical problems like ad-ranking and garment manipulation. Alper’s profile reflects both deep research chops and hands-on engineering—he’s equally comfortable running multi-GPU training pipelines and shipping ML features at product scale. An early indicator of his aptitude: he earned research scholarships and collaborated with Toyota Research Institute while still an undergraduate.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Columbia Engineering
High School Diploma High School/Secondary Diplomas and Certificates, High School Diploma High School/Secondary Diplomas and Certificates at The Lawrenceville School
Dual Enrollment Mathematics, Dual Enrollment Mathematics at Princeton University
An organic school trading website run by students. Widely popular in the Lawrenceville School.
Contributions:68 pushes, 1 branch in 2 years 11 months
javascripttradingnodejsorganicmongodb
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