Summary
Serena Chan is a Creative Machine Learning Engineer based in the UK with a decade of software engineering experience and a first-class Computer Science degree from King’s College London. She transitioned from senior engineering roles at Financial Times and Citi—where she built trading UIs, high-performance Python servers, and a CI/CD pipeline—to specialised AI training through a competitive ML apprenticeship equivalent to a master’s. At Sony Pictures Entertainment she now applies ML creatively, bridging production-grade software practices with experimental AI prototypes. Comfortable across front-end (Angular, React), back-end Python, and devops tooling (Docker, Jenkins, OpenShift), she excels at translating domain experts’ needs into robust, tested systems. A committed mentor and volunteer instructor in Python, she brings both commercial rigor and a curious, design-minded approach to applied ML problems. An understated strength is her track record of shipping critical engineering infrastructure under tight regulatory and cross-team constraints.
9 years of coding experience
7 years of employment as a software developer
International Baccalaureate, Overall Grade, 40 / 45, International Baccalaureate, Overall Grade, 40 / 45 at West Island School
Computer Science BSc, First Class Honours, Computer Science BSc, First Class Honours at King's College London