Yon-seo聽Kim
Staff Software Engineer at Google
San Francisco, California, United States
Summary
馃懁
Senior馃帗
Top SchoolYon-seo Kim is a Staff Software Engineer in San Francisco with 10+ years building production ML platforms and scalable backend systems at Google, Twitter, Workday, and Amazon. He blends deep mathematical training (PhD in Mathematics) and quantitative finance experience with hands-on engineering in Scala, Java, and distributed systems to productize statistical and machine-learning solutions at scale. Notable work includes building a Spark-based ML platform and open-sourcing a time-series forecasting ARIMA implementation, plus production microservices for predictive analytics. Equally comfortable in research and product settings, he has experience from academic symplectic topology to low-latency streaming and game analytics, giving him a rare ability to translate advanced math into reliable, deployable software.
10 years of coding experience
12 years of employment as a software developer
University of California, Los Angeles
Korean, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (17)
time-series-forecasting9
java7
forecasting6
machine-learning6
time-series5
markdown4
vscode4
knowledge-management2
linux1
screensaver1
keyboard1
tiling1
xcb1
xorg1
xlib1
Programming languages (3)
Github contributions (5)
yonseokim/RandomAlgorithms
Dec 2015 - Dec 2015
Contributions:2 pushes in 1 day
Workday/timeseries-forecast
Apr 2017 - May 2019
This is a Java open source library which provides a time series forecasting functionality.
Contributions:3 commits, 3 pushes, 4 comments in 2 years 1 month
forecastingtime-series-analysisseries-forecastingmachine-learningtime-series-forecasting
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