CDAO @ Viva Republica (Toss) | Ph.D. in Distributed System | ex-Kakao, SK, Samsung
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Distributed System in Deep Learning, Data Platform, and Blockchain Field. #Distributed System #Deep Learning # Blockchain(P2P) Network #BigData #Service Platform
Korea University
Doctor of Philosophy (Ph.D.), Distributed System (Grid Computing)
January 1, 2004 – January 1, 2008
Toss
CDAO (Chief Data & AI Officer)
November 1, 2025 – Present
On-site
Toss
Head of Data
November 1, 2023 – November 1, 2025
On-site
카카오페이 (kakaopay)
Head of Data and Artificial Intelligence
March 1, 2022 – November 1, 2023
카카오페이 (kakaopay)
Lead Principal Software Engineer
January 1, 2019 – March 1, 2022
BrilliantTS (Fuze Card, FuzeX)
Principal Engineer
June 1, 2018 – January 1, 2019
판교
SK planet
Deep Learning Service Platform 개발 및 운영 (ML Engineer)
November 1, 2016 – June 1, 2018
판교
SK planet
Scalable Push Notification System 개발 (Backend 서버개발)
February 1, 2013 – November 1, 2016
판교
Samsung Electronics
XMPP기반 퍼스널 클라우드 시스템 설계 및 개발(XMPP based real-time communication systems as personal cloud)
January 1, 2011 – January 1, 2013
Suwon, Gyeonggi-do, Korea
Samsung Electronics
Machine-to-Machine (M2M) communication
January 1, 2008 – December 1, 2010
Suwon, Gyeonggi-do, Korea
Cultural Fit Analysis
The candidate has a diverse background across large enterprises (Samsung, SK Planet, KakaoPay, Toss) and a startup (BrilliantTS), indicating adaptability to different organizational cultures. Their leadership roles in data and AI, coupled with prior blockchain experience, suggest a proactive and innovative mindset. The Ph.D. background also points to a strong research and problem-solving orientation, which is valuable in a rapidly evolving field like blockchain. However, the recent focus on high-level data/AI strategy might require a re-adjustment to a more hands-on blockchain development role.
Soft Skills & Operational Fit
The candidate's career progression from Principal Engineer to CDAO indicates strong leadership, strategic thinking, and operational management capabilities. Their experience in building and managing data/AI organizations suggests excellent team collaboration and project management skills. The focus on end-to-end data governance and domain-centric data mesh aligns with modern operational best practices.