Jason Chin is a Seattle-based software engineer with nine years of experience building high-throughput, production-grade systems—most recently moving large-scale data quickly at DoorDash after shaping Azure Monitor health models and observability services at Microsoft. He excels in distributed data processing, deterministic batching, and real-time aggregation engines that enabled sub-100 ms queries across 100k+ resources, and has driven reliability improvements that cut recurring incidents by 87%. A hands-on full-stack developer, Jason has integrated external APIs (e.g., Figma) into Python GUI tooling and shipped ML-driven features like image classifiers that saved thousands annually. He co-founded the Western AI club, ran org-wide training on RAG for faster onboarding, and maintains an active technical presence through a personal website, YouTube channel, and GitHub contributions. Notably, his work blends systems engineering with practical ML applications—moving from research internships (DLR) to production at scale—demonstrating both breadth and an appetite for tooling that accelerates other engineers.
9 years of coding experience
8 years of employment as a software developer
Computer Engineering, 12, Computer Engineering, 12 at Ontario Science Centre Science School
Bachelor of Engineering - BE, Software Engineering, Dean's Honour List, Bachelor of Engineering - BE, Software Engineering, Dean's Honour List at Western University
Contributions:4 reviews, 21 commits, 1 PR in 19 days
Contributions summary:Jason primarily contributed to the development of a GUI application using the Tkinter framework. They focused on adding new features, such as user error handling and integration with a Figma API for design import. Key contributions include refactoring code, fixing bugs in the GUI's code generation, and integrating new backend functionality. Their work demonstrates proficiency in Python, Tkinter, and the ability to connect with external APIs.
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