Sungho Park is a Senior Software Engineer with 9 years of experience building high-performance data platforms and systems infrastructure, currently at LinkedIn after a multi-year tenure at TikTok (ByteDance). He specializes in OLAP engines, query optimization, and bridging C++ and Java runtimes using Apache Arrow and JavaCPP, and has implemented production plugins to run Velox from Elasticsearch under high QPS. His background spans distributed storage formats (Parquet, Hive Metastore, HDFS), runtime engines (SparkSQL, Presto, Velox), and orchestration tooling, with a PrestoCon talk highlighting practical integration work. A UC Berkeley CS & Statistics graduate, he combines strong theoretical foundations with hands-on systems engineering—from SLAM research and VR interfaces to Go-based tooling at Uber—demonstrating versatility across research, production, and developer-facing tooling.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Arts - BA Computer Science Statistics, Bachelor of Arts - BA Computer Science Statistics at University of California, Berkeley
A new C++ vectorized database acceleration library aimed to optimizing query engines and data processing systems.
Contributions:3 pushes, 1 branch in 1 day
queryvectorizedcppnosqldata-processing
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