Kamyar Nazeri
Principal Architect at Harris Computer
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolKamyar Nazeri is a Principal Architect with over 11 years of experience designing and delivering enterprise-scale distributed systems, APIs, and clean, test-driven architectures. Based in Old Toronto, he blends hands-on development in C#, Java, Python and TypeScript with strategic enterprise architecture and domain-driven design to shepherd software lifecycles from analysis through production. His background includes academic research in generative computer vision and contributions to image-inpainting ML projects on GitHub, reflecting a practical bridge between ML research and production engineering. At Harris Computer he progressed from senior developer to principal roles, while consulting externally and mentoring teams on scalable, maintainable solutions. Kamyar is an active open-source and community contributor (arXiv, GitHub, StackOverflow) who prioritizes clean code, robust APIs, and observable systems. He pairs rigorous mathematical training from a Master’s in Modeling and Computational Science with deep industry experience to solve complex system-design challenges.
11 years of coding experience
25 years of employment as a software developer
High School, Mathematics, High School, Mathematics at Harati highschoolMaster’s Degree, Modeling and Computational Science, 3.88, Master’s Degree, Modeling and Computational Science, 3.88 at Ontario Tech UniversityBachelor’s Degree, Electrical eng., Bachelor’s Degree, Electrical eng. at Isfahan University of Technology
Persian, English, German
Stackoverflow
26,184reputation
2.8mreached
77answers
21questions
html
top-1%
image-processing
top-1%
timer
top-5%
websocket
top-5%
javascript
top-5%
Github Skills (22)
pytorch10
image-processing10
generative-adversarial-network10
deep-learning10
html10
edge-detection10
evaluation9
javascript9
python9
timer9
websocket9
trainings9
eval9
asp-net9
vbnet9
Programming languages (5)
Github contributions (5)
knazeri/edge-connect
Dec 2018 - Sep 2022
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
Role in this project:
ML Engineer
ML EngineerContributions:84 commits, 13 PRs, 73 pushes in 3 years 9 months
Contributions summary:Kamyar primarily focused on setting up and modifying the `EdgeConnect` model, which is related to structure-guided image inpainting using edge prediction. The commits involve modifying the `src/inpainting_model.py` and `src/models.py` files. They also worked on setting up training and evaluation, as well as fixing a few bugs and updating files related to the dataset.
iccv-2019guidedimage-inpaintingiccvarxiv
ImagingLab/Colorizing-with-GANs
Nov 2017 - Sep 2022
Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400
Contributions:210 commits, 1 PR, 139 pushes in 4 years 10 months
pytorcharxivabsimage-colorizationdeep-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.