Bradley Yoo
Software Engineer at Anrok
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolBradley Yoo is a Staff Software Engineer in San Francisco with 11 years of experience building reliable, high-performance backend systems and observability tooling. He has a strong track record across startups and enterprise environments — from Palantir and Asana to Alluxio and Tonic.ai — focusing on data systems, distributed job orchestration, and storage compatibility (including contributions to the Alluxio project and Azure/ S3 support). Bradley’s strengths lie in diagnosing production bottlenecks, improving database reliability at the transaction and query planning level, and shipping pragmatic anonymization and CI improvements. He’s fluent in improving monitoring and error grouping (Sentry tuning) and has repeatedly driven migrations and performance fixes that reduce operational risk. Based in a data-centric engineering background from Carnegie Mellon, he combines systems-level rigor with a product-aware mindset to prioritize high-impact technical debt. A detail that often surprises collaborators: he pairs deep backend expertise with a habit of reusing and adapting existing code (e.g., Lambda-based refactors and reusable anonymization patterns) to speed delivery without sacrificing quality.
10 years of coding experience
12 years of employment as a software developer
Bachelor of Science (BS) Computer Engineering, Bachelor of Science (BS) Computer Engineering at Carnegie Mellon University
Github Skills (7)
javas10
back-end-development10
java10
metric9
orchestrate9
orchestration9
performance-monitoring8
Programming languages (6)
Github contributions (5)
Alluxio/alluxio
Oct 2019 - May 2021
Alluxio, data orchestration for analytics and machine learning in the cloud
Role in this project:
Back-end Developer
Back-end DeveloperContributions:75 reviews, 235 commits, 346 PRs in 1 year 7 months
Contributions summary:Bradley primarily contributed to the Alluxio project by implementing and modifying back-end components. The commits show the user replacing anonymous types with lambda expressions within core server metrics. They also made significant changes to enhance the configuration loading of clients from the meta master. Furthermore, the user added metrics to monitor job service status and performance, reflecting a focus on improving monitoring and managing backend operations. The user also made changes to enable the support for Azure Data Lake Storage Gen2.
data-analysisvirtual-distributed-filesystemanalyticsorchestrationdata-science
bradyoo/alluxio
Oct 2019 - May 2021
Alluxio, data orchestration for analytics and machine learning in the cloud
Contributions:8 PRs, 770 pushes, 382 branches in 1 year 7 months
analyticsorchestrationdata-sciencebigquerymachine-learning
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