Leo Isikdogan is a senior research engineer with 11 years of experience building machine learning and computer vision systems for consumer and media products, currently applying ML to VFX and media production at Netflix. He holds a PhD in Electrical and Computer Engineering from UT Austin and has shipped production ML features at Apple (including work for Vision Pro), Intel, and Motorola. His work spans foundational research—such as deep-learning models for satellite water mapping—and pragmatic engineering, optimizing networks for constrained hardware and real-time imaging pipelines. Known for turning moonshot ideas into early prototypes, he thrives at the intersection of research, product, and cross-functional collaboration. An avowed practitioner-researcher, he blends academic rigor with a track record of visible product impact across mobile, consumer camera, and media workflows.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering at The University of Texas at Austin
Bachelor of Science (B.S.) Computer Engineering, Bachelor of Science (B.S.) Computer Engineering at Yıldız Teknik Üniversitesi
Master of Science (M.S.) Computer Engineering, Master of Science (M.S.) Computer Engineering at Boğaziçi University
Contributions:2 PRs, 181 pushes, 5 branches in 5 years 2 months
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