Ziyang Song
Montreal, Quebec, Canada
Summary
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SeniorZiyang Song is a Full Stack Lead Engineer with over a decade of experience building large-scale MERN applications and leading teams at companies like Airbnb and Bank of America. He combines deep React/Redux expertise and TypeScript with server-side Node/Express skills, strong web security practices, and AWS integrations to deliver scalable, secure systems. Skilled in test-driven development using Jest, Cypress, and React Testing Library, he emphasizes reliability and maintainability across the stack. His background spans enterprise and consumer-facing products—from Alibaba to fintech—reflecting an ability to adapt patterns to diverse domains. Trained in computer science through Northeastern and Miami University, he brings both academic rigor and hands-on execution to complex architecture and API design. Unexpectedly, he pairs that engineering depth with a knack for mentoring and fostering collaboration in Agile environments.
10 years of coding experience
Github Skills (13)
gaussian-mixture-models10
background-subtraction10
mixture-model10
algorithm8
statistics5
generative-model4
deep-learning3
machine-learning3
bayesian-methods3
data-science3
tensorflow3
variational-inference2
probabilistic-programming2
Programming languages (2)
Github contributions (5)
ZiyangS/BackgroundSubtraction
Jan 2019 - Jan 2019
Background subtraction algorithm by Gaussian Mixture Model based on paper "Adaptive background mixture models for real-time tracking".
Contributions:11 commits, 7 pushes, 1 branch in 10 days
background-subtractiongaussian-mixture-modelsmixture-model
ZiyangS/IGMM
Oct 2018 - Feb 2019
Contributions:16 commits, 8 pushes in 4 months
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