Shayan Kousha
Generative AI Engineer
Canada
Summary
👤
Senior🎓
Top SchoolShayan Kousha is a Generative AI Engineer with 8 years of experience building and shipping ML and computer vision systems, holding a BSc from the University of Toronto and an MSc from York University. He has led end-to-end projects from prototype to deployment—optimizing training and inference pipelines, containerized delivery, and mobile/ONNX deployments—while improving model quality (e.g., +14% PSNR, +30% rendering quality) through geometry-aware innovations. His expertise spans NeRF, Gaussian splatting, diffusion models, transformers, octrees and LiDAR-to-visual fusion, with a proven ability to translate research ideas into production-ready solutions. Comfortable bridging product, data, and engineering teams, he mentors teammates and consistently focuses on cost and deployment readiness alongside model research. A pragmatic experimentalist, he pairs novel architectural tweaks and induction biases (edge-preserving depth regularization, SDF representations) with systems work like CUDA kernel tuning to deliver measurable production impact.
8 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at University of TorontoMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at York University
English, Persian
Github Skills (44)
noise8
react-native7
postgresql7
mysql7
cordova7
nodejs7
javascript7
oracle7
database7
sqlite7
normalizing7
regularizer6
noise-reduction6
orm6
databases6
Programming languages (2)
Github contributions (5)
shayan-kousha/DGRZSL
Dec 2020 - Jun 2021
Text Generative Regularizer Zero_Shot Learning (TGRZSL)
Contributions:47 commits, 8 PRs, 23 pushes in 6 months
nlpzerozero-shot-learningshot-learningzero-shot
shayan-kousha/brain-data-domain-adaptation
Sep 2018 - May 2020
Contributions:5 pushes, 1 branch in 1 year 7 months
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