Emmanuel Goh is a pragmatic software engineer with 11 years of experience building cloud-native, cost-conscious systems and developer tooling across startups and Meta in Singapore. He has a strong background in infrastructure as code, CI/CD, Kubernetes and backend services—at ViSenze he extended cluster autoscaling to cut cloud costs and at Meta he optimized low-latency tax and cash-processing systems. Comfortable across the stack, Emmanuel blends algorithm-aware engineering with operational reliability work and a knack for productivity tooling (Helm charts, Terraform modules, Jenkins libraries). A Quantitative Finance graduate with a Computer Science minor, he brings analytical rigor from finance into systems design and is known for deliberately tackling problems he hasn’t solved before—a “curious rebel” approach that fuels practical innovation.
11 years of coding experience
8 years of employment as a software developer
NUS High School of Mathematics and Science
Bachelor of Science - BS Quantitative Finance with Minor in Computer Science, Bachelor of Science - BS Quantitative Finance with Minor in Computer Science at National University of Singapore
Contributions:9 PRs, 59 pushes, 18 branches in 9 years 9 months
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