Younggun Kim
Founder at dalock
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolYounggun Kim is a technology executive and founder with over two decades of experience spanning embedded systems, cloud, and AI, who has consistently scaled engineering organizations across three countries to deliver enterprise-grade digital transformations and 15× business growth. As former VP of Engineering and CTO he built high-performance teams, shipped multi-platform OTT services, and led an AI-powered inventory solution that cut operating costs 73% and made his startup the only profitable player in its sector. A Python Software Foundation Fellow and the first Asian elected to the PSF Board, he’s an active open-source contributor—helping improve pandas performance and correctness—and a community builder for PyConKR and PyConAPAC. Younggun pairs deep low-level engineering roots (Linux kernel, device drivers, BD-J) with product-focused execution, enabling him to design systems from SoC integration to cloud-native pipelines. He also mentors the next generation of engineers and has a penchant for turning telemetry into interactive digital twins, evidenced by a recent F1 replay platform. Based in Seoul, he blends hands-on engineering craft with strategic leadership across consumer electronics, EdTech, OTT, and O2O domains.
13 years of coding experience
9 years of employment as a software developer
Computer Engineering, Computer Engineering at Kumoh National Institute of TechnologyBS, Computer Science, BS, Computer Science at National Institute of Lifelong Education
Korean, English, Japanese
Stackoverflow
968reputation
58kreached
24answers
7questions
Github Skills (15)
data-analysis10
pandas10
debug10
performance-optimization10
python10
data-science10
numpy9
testing8
macos-big-sur6
linux6
compilation6
rosetta6
sorting6
apple-silicon6
ubuntu6
Programming languages (7)
Github contributions (5)
pandas-dev/pandas
Apr 2015 - Feb 2016
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Role in this project:
Data Scientist
Data ScientistContributions:7 commits, 10 PRs, 39 comments in 10 months
Contributions summary:Younggun primarily contributed to bug fixes and performance improvements within the pandas library. Their work included resolving issues related to unstacking, resampling, and index behavior. Furthermore, the user addressed performance bottlenecks in the `Series.resample` method and implemented fixes to improve the calculation of business day frequencies. They also corrected documentation errors.
pythondatalabeled-datamanipulationdataframes
scari/pandas
Apr 2015 - Aug 2020
Contributions:48 pushes, 3 branches in 5 years 5 months
manipulationmanipulation-librarydata-analysispythondata
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