Summary
Chung L is a seasoned software engineer with 13 years of experience building scalable front-end and full-stack systems, currently contributing to Google's Knowledge Engine and Magi content loop. He combines deep academic training in programming languages and deep learning (MS, Indiana University, 4.0 GPA) with hands-on expertise in JavaScript, Python, Go, Java and Racket, and has led migrations from legacy jQuery apps to large React/GraphQL platforms. At Appier he scaled front-end teams, rebuilt 1k+ component SPAs, and helped architect data pipelines that ingested petabytes daily—experience that informs his pragmatic approach to performance and observability. Based in San Francisco, he mentors engineers, champions accessibility and AAA-compliant UIs, and is quietly obsessed with functional programming and practical ML integration. A detail that surprises colleagues: beyond production systems he’s comfortable prototyping low-level tracking libraries and has shipped both client-side instrumentation and core ML-facing services.
13 years of coding experience
7 years of employment as a software developer
BS, Electrical Engineering, 2.90/4.00, BS, Electrical Engineering, 2.90/4.00 at National Taiwan University
Master of Science - MS, Computer Science, 4.00/4.00, Master of Science - MS, Computer Science, 4.00/4.00 at Indiana University Bloomington