Suminย Byeon
Software Engineering Manager at NAVER Corp
Seoul, South Korea
Summary
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Top SchoolSumin Byeon is a Software Engineering Manager with 15 years of experience building and operating large-scale data platforms, currently leading a machine learning data platform team at NAVER Cloud in Seoul. He specializes in distributed systems, ETL pipelines, data governance, feature stores and scalable data serving, and has a strong hands-on background in Python and Java. His career includes driving cost-saving architecture changes, building write-heavy microservices with Cassandra, and contributing to well-known open-source projects like pandas-datareader and Pinterest's Secor. Sumin blends leadership with deep engineering: he mentors senior engineers, authors production Spark and Airflow jobs, and has a history of improving code quality and test coverage across diverse systems. Heโs actively expanding into machine learning and speaks the pragmatism of someone who moved map-tile generation from day-long to hourly runtime through algorithmic and systems optimizations.
15 years of coding experience
12 years of employment as a software developer
The University of Arizona
Stackoverflow
1,708reputation
168kreached
7answers
5questions
Github Skills (35)
data-analysis10
algorithm10
unit-testing10
json10
algorithms10
python10
financial-data10
finance10
pandas10
kafka10
networkx10
java10
implement10
javas10
natural-language-processing10
Programming languages (14)
Github contributions (5)
pydata/pandas-datareader
Oct 2019 - Jul 2020
Extract data from a wide range of Internet sources into a pandas DataFrame.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:14 commits, 2 PRs, 5 comments in 9 months
Contributions summary:Sumin contributed to the development of a new data source reader for Naver Finance, a Korean stock market data provider. They implemented the core functionality to fetch and parse data from Naver, including XML parsing and date formatting. The user also added tests and addressed code conventions and formatting, ultimately integrating the new data source into the existing pandas-datareader library. Finally, the user refactored the code for more efficient date filtering.
pythondatafredsecfinance
pinterest/secor
Sep 2019 - Oct 2019
Secor is a service implementing Kafka log persistence
Role in this project:Back-end Developer
Back-end DeveloperContributions:41 commits, 14 PRs, 18 comments in 25 days
Contributions summary:Sumin primarily contributed to the implementation and testing of file readers and writers for the Secor service. Their work focused on integrating JSON-based ORC (Optimized Row Columnar) file formats, including handling map and union data types within the ORC schema. The user also addressed edge cases, such as scenarios without defined schemas, and improved test coverage for data serialization/deserialization.
sinkloggingopensearchkafka-connectkafka
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