Stephen Chung is a Full Stack Software Engineer with three years of experience building scalable web and cloud-native systems, currently focused on applied AI/LLM work at Abnormal AI. He combines a strong backend background—Golang services, AWS Step Functions, Lambda, and Neo4j—with modern front-end expertise in Next.js, React, and Flutter, having shipped user-facing apps and internal tooling that cut delivery time and cloud costs significantly. His MSc in Computer Science & AI complements hands-on projects like automation tooling for AMD test infrastructure and an OCR-driven BPM system at Trend Micro, showing an ability to bridge research-grade techniques with production constraints. Notably, he has migrated monolithic AWS setups to ECS clusters and introduced graph databases to simplify complex authorization flows, reflecting a pragmatic eye for architecture and cost efficiency. Based in London, he pairs fast iteration with measurable product impact—higher retention, reduced costs, and streamlined QA workflows.
3 years of coding experience
4 years of employment as a software developer
Bachelor of Arts (B.A.), Economics, Bachelor of Arts (B.A.), Economics at University of California, Davis
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Nottingham
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Contributions:6 reviews, 8 PRs, 7 pushes in 2 years 3 months
compilerstechnologiesclangsubmittoolchain
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.