Wei Goh is a Vice President and seasoned software leader with 9 years of experience designing and shipping large-scale distributed systems across finance and ad-tech. He has led backend engineering at Goldman Sachs and GIC after senior engineering roles at Google and Snap, consistently focusing on high-throughput real-time data ingestion and analytics stacks. His hands-on background includes operating and optimizing massive Kafka and Druid deployments, and he has contributed backend improvements to the popular Apache Druid project. With a PhD in Computer Science from NUS and deep systems-level knowledge—from OS internals to production data pipelines—he blends rigorous research instincts with practical engineering for reliability and performance. Colleagues rely on him to turn complex systemic requirements into maintainable architectures that scale.
9 years of coding experience
10 years of employment as a software developer
Diplôme d’Ingénieur Engineering, Diplôme d’Ingénieur Engineering at Télécom SudParis
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at National University of Singapore
Apache Druid: a high performance real-time analytics database.
Role in this project:
Back-end Developer
Contributions:7 commits, 7 PRs, 85 comments in 5 months
Contributions summary:Wei primarily contributed to the backend of the Druid database system. Their work involved refactoring code by replacing usages of `CountingMap` with `Object2LongMap` and related class removals, indicating optimization efforts. They also added and modified test cases related to the coordinator and data input formats, improving the system's testing coverage. Additional changes included fixing minor style issues and adding missing headers.
Contributions:2 PRs, 6 pushes, 3 branches in 4 months
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