Jayeon Park

Jayeon Park

Senior Queue Manager @ ScaleAI

About Jayeon Park

Jayeon Park is a Senior Queue Manager at Scale AI, where they have held various roles since 2023. They previously worked as an Associate Researcher at the Ministry of the Interior and Safety in South Korea and hold two Bachelor of Science degrees in Geographic Engineering and Computer Science from Kyungil University.

Current Role at Scale AI

Jayeon Park currently holds the position of Senior Queue Manager at Scale AI, a role he has occupied since 2024. In this capacity, he is responsible for overseeing queue management processes, ensuring efficient operations within the organization. Prior to this, he served as Engagement DRI for 8 months, contributing to the company's engagement strategies. His experience at Scale AI also includes a tenure as Quality and Engagement Team Lead and Prompt Engineer, showcasing his versatility and expertise in various roles within the company.

Previous Experience at Ministry of the Interior and Safety

Before joining Scale AI, Jayeon Park worked at the Ministry of the Interior and Safety in the Republic of Korea as an Associate Researcher from 2020 to 2023. During his three years in this role, he engaged in research initiatives that supported the ministry's objectives. This experience provided him with valuable insights into governmental operations and research methodologies.

Educational Background in Geographic Engineering

Jayeon Park earned a Bachelor of Science degree in Geographic Engineering from Kyungil University, completing his studies from 2019 to 2023. This program equipped him with foundational knowledge in geographic information systems and spatial analysis, which are essential in various technical fields. His academic background supports his analytical skills and understanding of geographic data.

Educational Background in Computer Science

In addition to his degree in Geographic Engineering, Jayeon Park also studied Computer Science at Kyungil University, achieving a Bachelor of Science degree from 2019 to 2023. This dual focus in both geographic engineering and computer science enhances his technical proficiency and ability to integrate technology with geographic data analysis.

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