Leo Isikdogan

Staff Research Scientist at Netflix

San Francisco Bay Area United States
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Summary

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Senior
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Top School
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.
code11 years of coding experience
job10 years of employment as a software developer
bookDoctor of Philosophy (Ph.D.), Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering at The University of Texas at Austin
bookBachelor of Science (B.S.), Computer Engineering, Bachelor of Science (B.S.), Computer Engineering at Yıldız Teknik Üniversitesi
bookMaster of Science (M.S.), Computer Engineering, Master of Science (M.S.), Computer Engineering at Boğaziçi University
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Github Skills (36)

python10
machine-learning10
water10
landsat10
deep-learning10
gis10
neural-network10
image-processing9
geospatial9
corpus9
paper9
tensorflow9
nlp8
darknet8
keras8

Programming languages (5)

ShellC++HTMLJupyter NotebookPython

Github contributions (5)

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isikdogan/deepwatermap

Aug 2019 - Jun 2021

a deep model that segments water on multispectral images
Contributions:9 commits, 3 PRs, 8 pushes in 1 year 9 months
deep-learningsegmentsmultispectralmultispectral-imagesimage-processing
isikdogan/rivamap

Oct 2015 - Apr 2020

an automated river analysis and mapping engine
Contributions:1 release, 79 commits, 2 PRs in 4 years 6 months
pythongeospatialrivermappinggis
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