Brian Cho
Software Engineer at Aptos
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolBrian Cho is a software engineer with 11 years of experience building high-performance backend systems, currently contributing to the Aptos layer-1 blockchain in the San Francisco Bay Area. He brings deep systems and distributed-systems expertise from roles at Facebook and research experience at Seoul National University, plus a Ph.D. background from UIUC. His open-source contributions include optimizations to Aptos consensus components and meaningful performance and correctness fixes to Apache Spark, demonstrating skill in low-level algorithms, data structures, and large-scale data processing. Comfortable in both research and production environments, he has a track record of improving core logic, batch verification, and IO/shuffle efficiency in widely used platforms.
11 years of coding experience
9 years of employment as a software developer
University of Illinois Urbana-Champaign
Korean, English
Github Skills (18)
algorithm10
algorithms10
consensus10
spark10
big-data10
data-structure10
java10
scala10
javas10
performance-optimization10
blockchain10
data-processing10
data-structures10
datastructures-algorithms10
rust10
Programming languages (8)
Github contributions (5)
aptos-labs/aptos-core
Apr 2022 - Jan 2023
Aptos is a layer 1 blockchain built to support the widespread use of blockchain through better technology and user experience.
Role in this project:
Backend Developer
Backend DeveloperContributions:4 releases, 937 reviews, 177 commits in 9 months
Contributions summary:Brian contributed to the core logic of the Aptos blockchain, focusing on optimizing the quorum store and related components. Their work involved modifying data structures and algorithms within the consensus module, including incorporating a new method of batch verification. The user also worked on making the API calls more efficient.
blockchain-platformblockchainuser-experienceblockchain-networksmart-contracts
apache/spark
May 2016 - Oct 2016
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:Back-end Developer
Back-end DeveloperContributions:9 PRs, 27 comments in 4 months
Contributions summary:Brian primarily contributed to the Apache Spark codebase, focusing on optimizing the performance and correctness of data processing operations. Their work included improving the efficiency of ORC file unwrapping, removing dead code related to OrcTableScan, optimizing shuffle write operations, and correcting spill metrics reporting. The user's contributions demonstrate a deep understanding of Spark's internal workings and optimization techniques for big data processing. They also worked on modifying partition metadata.
analyticspythondata-processingsqlapache
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