Young You
CTO, Co-Founder at Engaging AI
Greater Seattle Area United States
Summary
🤩
Rockstar🎓
Top SchoolYoung You is a CTO and founder with over 7 years of modern startup leadership and a long history in game and software engineering dating back to early 2000s. He co-founded Engaging AI to enable non-programmers to compose custom AI services via an intuitive canvas, while previously building and exiting a game and marketing-software company in Korea. Hands-on technically, he contributes to Apache DataFusion as a PMC-level back-end and performance engineer, improving aggregation, regression functions and fixing critical external sort memory issues. Young blends product-focused leadership with deep performance-oriented systems work, comfortable across full-stack development, data engines, and production ML pipelines. Based in Greater Seattle, he combines entrepreneurial grit with a track record of shipping complex, user-facing platforms and scalable backend systems. An uncommon detail: he pairs startup product design with low-level query engine optimizations, bridging usability and high-performance analytics engineering.
7 years of coding experience
15 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of Washington
English, Korean
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
fusion10
performance-tuning10
query-engine10
query-optimization10
rust10
sql10
arrow-js9
arrow-keys9
data-structure9
arrows9
algorithm9
data-structures9
algorithms9
big-data8
Programming languages (6)
Github contributions (5)
apache/datafusion
Apr 2023 - Apr 2025
Apache DataFusion SQL Query Engine
Role in this project:
Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions:229 reviews, 76 PRs, 12 pushes in 2 years
Contributions summary:Young primarily focused on improving the performance and functionality of the Apache DataFusion SQL Query Engine. Their contributions included refactoring and optimizing the query execution plan, specifically in the areas of aggregation. The user implemented the `regr_slope()` and other regression-related aggregate functions, enhancing the engine's analytical capabilities. Furthermore, they addressed memory management issues related to external sorting, resolving potential data corruption issues.
querypythonquery-enginedataframerust
2010YOUY01/dotfiles
Oct 2020 - Nov 2024
Contributions:33 pushes, 3 branches in 4 years 1 month
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