Irvan Arief
VP Of Technology GRAND, Data And AI
Jakarta Metropolitan Area Indonesia
Summary
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Senior🎓
Top SchoolIrvan Arief is a globally recognized technology and AI leader with eight years of focused experience driving data, ML engineering and security at scale across enterprises like tiket.com, Tokopedia, TSMC and GE. As VP of Technology (Data & AI) he leads large multidisciplinary R&D and production teams to turn cutting-edge research—much of which he pioneered, including DA-HOC and RUP algorithms—into measurable business outcomes. His career spans deep technical delivery, academic research (PhD-level) and teaching roles at Monash, RMIT and Universitas Bunda Mulia, giving him a rare ability to translate complex technical trade-offs into executive strategy. A decorated innovator—recipient of CIO100/World CIO honors, AI and enterprise security awards, and national alumni distinctions—he combines hands-on engineering chops with proven impact on revenue and operational scale. Not obvious from titles alone: he has repeatedly moved research into production (e.g., smart-building algorithms and semiconductor manufacturing optimizations), demonstrating a knack for pragmatic innovation that delivers real-world efficiency gains.
8 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, C1 (The highest achievement for only the top 10% best Ph.D. student), Doctor of Philosophy (Ph.D.), Computer Science, C1 (The highest achievement for only the top 10% best Ph.D. student) at RMIT UniversityBachelor of Science (B.Sc.), Resources Engineering, Bachelor of Science (B.Sc.), Resources Engineering at National Cheng Kung UniversityMaster's Degree, Business Information Systems Professional, High Distinction (HD), Magna Cum Laude, Master's Degree, Business Information Systems Professional, High Distinction (HD), Magna Cum Laude at Monash University
English, Chinese, Indonesian, javaneseGithub contributions (4)
cruiseresearchgroup/DA-HOC-Semi-supervised-Domain-Adaptation-Prediction
Apr 2018 - Apr 2018
Contributions:23 commits, 21 pushes in 1 day
Contributions:18 commits, 14 pushes in 1 month
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