Can Koyuncu
Software Engineer, Machine Learning at Meta
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolCan Koyuncu is a machine learning and computer vision engineer with a decade of experience translating research-grade AI into production systems, currently building Ads Model Production Services at Meta. He holds a PhD in computer science and moved from academic research—where he developed AI tools to extract sub-visual features from histopathology images and link them to cancer treatment—to industry-focused ML engineering. His skill set spans the full ML lifecycle, from exploratory data analysis and feature engineering to model building, evaluation, and monitoring, enabling end-to-end deployment of robust models. Comfortable in both research and product environments, he has navigated roles from research faculty to R&D engineering, bringing a pragmatic, reproducible approach to complex vision problems. Based in the San Francisco Bay Area, he combines deep domain expertise with hands-on software craftsmanship to drive measurable impact at scale.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Computer Engineering, 3.52 / 4.00, Bachelor of Science (B.S.), Computer Engineering, 3.52 / 4.00 at TOBB Ekonomi ve Teknoloji ÜniversitesiMaster of Science (M.Sc.), Computer Science, Master of Science (M.Sc.), Computer Science at Bilkent Üniversitesi
Russian, EnglishProgramming languages (1)
Github contributions (5)
canfkoyuncu/3D_Prostate
Nov 2019 - Nov 2020
Contributions:17 commits in 11 months
canfkoyuncu/ObjectOrientedSegmentation
Feb 2017 - Sep 2019
Contributions:11 commits, 4 pushes in 2 years 7 months
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