Suhyuk Park
About Suhyuk Park
Suhyuk Park is the Data Ingestion Team Leader at NCSOFT, where he has worked since 2016. He has a background in Natural Language Processing and Civil Engineering, and he has developed a microservice architecture-based data ingestion platform while utilizing machine learning techniques for system disorder detection.
Work at NCSOFT
Suhyuk Park has been employed at NCSOFT since 2014, initially serving as a Data Collecting Platform Engineer for one year. He then transitioned to the role of Data Analysis Platform Manager from 2015 to 2016. Since 2016, he has held the position of Data Ingestion Team Leader, where he has been responsible for leading the design of data collecting and processing platforms. His work focuses on developing a microservice architecture-based data ingestion platform and utilizing machine learning techniques to detect system disorders in data ingestion processes.
Education and Expertise
Suhyuk Park completed his Bachelor’s degree in Civil Engineering at Dong-A University, studying from 1993 to 2000. He later pursued a Master’s degree in Natural Language Processing at Korea University, where he studied from 2006 to 2008. His educational background provides a strong foundation for his expertise in data analysis and machine learning, which he applies in his current role at NCSOFT.
Background
Suhyuk Park has a diverse background in engineering and data analysis. His career in the tech industry began at NCSOFT, where he has progressively taken on roles with increasing responsibility. His experience spans various aspects of data management, including data collection, analysis, and the development of data ingestion platforms, showcasing his ability to adapt and grow within the field.
Achievements
During his tenure at NCSOFT, Suhyuk Park has developed a microservice architecture-based data ingestion platform, which enhances the efficiency and reliability of data processing. He also leads initiatives that incorporate machine learning techniques to improve system performance and detect disorders in data ingestion processes. His contributions have significantly impacted the company's data management capabilities.