Ivan Chau
Software Developer at Five Rings
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolIvan Chau is a software developer with 11 years of engineering experience and a Columbia CS background, currently building trading infrastructure at Five Rings. He has shipped end-to-end systems across startups and large firms—from an MVP iOS app and GCP/Typescript backend at Minimap to distributed event ingestion, auto-scaling services, and production ML tooling at Arcesium, TikTok, and Bloomberg. His contributions to Apache Arrow include benchmarking temporal operations and implementing an Asof Join node, reflecting a focus on high-performance data processing and memory-bounded streaming joins. Comfortable across languages (C++, Python, Typescript) and cloud-native tooling (Docker, Kubeflow, Kafka), he blends rigorous benchmarking with practical productionization. He also has a history of founding and scaling community projects, showing both technical depth and an entrepreneurial drive.
11 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Columbia University in the City of New York99.59 (Valedictorian), 99.59 (Valedictorian) at Montgomery High School
Stackoverflow
96reputation
2kreached
1answer
0questions
Github Skills (16)
benchmarking10
benchmark10
c-language10
cprogramming-language10
data-structure9
datastructures-algorithms9
apache-arrow9
data-structures9
algorithm9
algorithms9
arrows7
arrow-js7
parquet7
material-design6
javascript6
Programming languages (10)
Github contributions (5)
apache/arrow
Jun 2022 - Jul 2022
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
Role in this project:
Back-end Developer
Back-end DeveloperContributions:41 reviews, 5 commits, 7 PRs in 1 month
Contributions summary:Ivan primarily contributed to adding benchmarks for various temporal operations and the Asof Join node within the Apache Arrow project. These benchmarks test the performance of temporal functions such as "between" operations, which indicates a focus on optimizing data processing. They also contributed to the addition of a filter node and project node benchmark, improving the project's benchmarking coverage.
memorymulti-languagetoolboxacceleratedarrow
iChauster/rencontrer
Oct 2015 - Nov 2015
Contributions:18 commits, 15 pushes, 1 branch in 13 days
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