Othniel Cundangan
Software Developer at Autodesk
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolOthniel Cundangan is a software developer with 11 years of hands-on experience building C++ core engines, web applications, and game systems, currently contributing at Autodesk out of Old Toronto. He has shipped networking and mobile engine components, UI and editor tooling, and back-end REST services across companies including Ludia, Ubisoft, and McGill University. Othniel also contributes to high-profile open-source ML tooling for face swapping, improving GAN architectures, loss calculations, and preprocessing like blur detection—an unusual bridge between game/engine work and applied machine learning. Comfortable across C++, C#, Java, Objective-C, and modern JavaScript stacks, he favors pragmatic refactors and CI-driven workflows to keep complex systems reliable. His background combines production game-engine performance tuning with practical ML model engineering, enabling cross-disciplinary solutions for graphics and data-driven features.
11 years of coding experience
International Baccalaureate Diploma, International Baccalaureate Diploma at Upper Canada CollegeBachelor of Science (B.Sc.), Computer Science, Bachelor of Science (B.Sc.), Computer Science at McGill University
Github Skills (11)
keras10
computer-vision10
machine-learning10
deeplearning-ai10
deep-learning10
cgan10
tensorflow10
deep-neural-networks10
python10
dcgan10
swap10
Programming languages (7)
Github contributions (5)
deepfakes/faceswap
Mar 2018 - Mar 2018
Deepfakes Software For All
Role in this project:
ML Engineer
ML EngineerContributions:6 commits, 13 PRs, 42 pushes in 14 days
Contributions summary:Othniel primarily worked on updating and refining the GAN (Generative Adversarial Network) models used for face swapping. Their commits involved refactoring existing plugins, adding new GAN architectures (GAN128), and fixing issues related to the output and loss calculations. They also addressed padding problems, improved mask generation, and integrated blur detection within the face extraction process.
deepfakesdeep-learningneural-netsmachine-learningface-swap
oatssss/faceswap
Feb 2018 - Mar 2018
Contributions:54 commits, 71 pushes, 20 branches in 15 days
pytorchdeepfakesdeep-learningmachine-learningthread
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