Tom Kwong is a seasoned software engineer and technology leader with 13+ years of industry experience and a multi-decade track record building trading, risk management, and large-scale web systems. He blends deep quantitative asset-management domain knowledge with hands-on engineering across Julia, Python, Java, R and C, and has production experience with AWS, Docker, Kubernetes, and enterprise databases. Author of "Hands-on Design Patterns and Best Practices with Julia," he brings both practitioner-level language expertise and a taste for teaching best practices. Tom has led engineering teams in startups and Fortune-scale organizations, shaping architecture and delivery for mission-critical systems from ad-tech to financial services. Now at Meta, he continues to apply cross-domain judgment—combining low-latency system design, cloud-native operations, and financial computing—to solve complex production problems. Based in Pasadena, he pairs academic foundations (MS/BS UCSB) with a pragmatic, results-oriented approach that favors re-architecting messy legacy systems into scalable, production-quality platforms.
13 years of coding experience
25 years of employment as a software developer
MS, Computer Science, MS, Computer Science at UC Santa Barbara
BS, Computer Science, BS, Computer Science at University of California, Santa Barbara
An example of running Julia program as AWS Lambda using container image
Contributions:26 commits, 2 PRs, 15 pushes in 2 years
lambdaaws-lambdadockerjuliaaws
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