Yoonmin Nam
Senior Software Development Engineer at Amazon Web Services (AWS)
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolYoonmin Nam is a Senior Software Development Engineer with six years of experience specializing in high-performance query processing and cloud-native data analytics, currently working on the Amazon Redshift query engine in San Francisco. With a PhD in Computer Science from DGIST and a history at HEAVY.AI, he has deep expertise in query optimization, JIT code generation, GPU/CPU parallelism, and advanced window and nested-query handling. He has contributed to HeavyDB (formerly OmniSciDB), improving support for complex SQL constructs like subqueries, window functions, COUNT_IF, and timestamp handling—work that showcases both practical engineering and subtle datatype-correctness fixes. Comfortable bridging research and production, he designs resource-aware scheduling, caching and interrupt strategies to make analytical engines both fast and robust.
6 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at DGIST (Daegu Gyeongbuk Institute of Science and Technology)Bachelor of Engineering (BEng) Computer Science, Bachelor of Engineering (BEng) Computer Science at Pukyong National University
English
Github Skills (11)
query-tuning10
database-tuning10
query-optimization10
window-functions10
sql10
database-optimization10
testing9
cprogramming-language9
c-language9
data-structures8
data-structure8
Programming languages (2)
Github contributions (5)
heavyai/heavydb
Sep 2019 - Jan 2023
HeavyDB (formerly OmniSciDB)
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:11 reviews, 330 commits, 25 comments in 3 years 4 months
Contributions summary:Yoonmin focused on adding and improving support for complex SQL queries, particularly those involving subqueries and window functions. Their work included resolving conflicts, adding and sanitizing test cases, and implementing features related to the correct handling of nested queries and the `COUNT_IF` function. Furthermore, the user addressed issues related to incorrect results when using date/time/timestamp types, demonstrating expertise in database query optimization and data type handling.
cudareal-timevisualizationgpuheavyai
yoonminnam/gporca
Jun 2021 - Jun 2021
A modular query optimizer for big data
Contributions:1 push in 1 day
queryquery-optimizersqlbig-datadatabase
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