Summary
Jason Tang is a software engineer with a decade of experience building resilient, data-driven systems across fintech, e‑commerce, and ML startups. Currently on Stripe’s Risk team, he blends production-grade backend engineering with applied machine learning expertise honed at Amazon and Crossing Minds, where his image-to-text enrichment and recommendation work drove measurable upsell and accuracy gains. He has a strong track record of improving availability and scalability—designing partial-failure handling for high-volume shipping APIs and forecasting capacity to scale compute by 300% for peak events. Jason holds an MS and an HBSc in Computer Science from the University of Toronto with near-perfect grades, and he pairs rigorous academic training with hands-on impact, from automating forecasting pipelines to reducing manual evaluation time by 82%. Not obvious at first glance: he moves comfortably between on-call operational responsibilities and prototyping ML features that directly increase revenue.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, GPA: 4.00 / 4.00, Master of Science - MS, Computer Science, GPA: 4.00 / 4.00 at University of Toronto
English, Chinese