ARUL KUMARAVEL Chief Technology Adviser Nationality: American Arul Kumaravel, male, 49, is the Chief Technology Adviser for Capital A. Arul works with Capital A’s portfolio of companies to introduce best product practices and to enhance our technology architecture across all of our digital portfolio companies. He oversees our technology ecosystem to ensure the implementation of a comprehensive and industry leading technology strategy, contributing to Capital A’s long-term digital vision. Arul works with our technology leaders to set the strategic course for the Group based on advanced innovations, developing marketable technologies to improve revenue and sales opportunities, and manage costs more efficiently through the use of technology. With more than 25 years’ experience in the field of software engineering and development, as well as an MBA from the Wharton School, Arul combines a strong background in both business and technology. He is a founder of Tazapay, a platform for enabling trust in conducting cross-border commerce transactions for small and medium-sized businesses. He has been the head of engineering at Grab and for Amazon’s mobile platform. He spent 15 years with Microsoft in Seattle and was involved in the development of bCentral, Sharepoint, Windows PowerShell and the MS’ Startup Business Group. He also co-authored “Professional Windows PowerShell Programming”, a reference book published by Wiley & Sons. LYE KONG WEI Chief Data Scientist Nationality: Singaporean Lye Kong Wei, male, 50, was appointed Capital A’s Chief of Chief Data Scientist in March 2019 and is responsible for improving the Group’s operations by applying data science including artificial intelligence (AI) and operations research (OR). Prior to this, Kong Wei worked at Grab, where he was the founding head of regional data science. At Grab, he led five specialised data science teams that helped drive key business metrics such as allocation rates, gross merchandise volume, cost reduction and transaction volumes through intelligent and optimised models and algorithms. Prior to Grab, Kong Wei was with Greenwave Systems, a home energy management startup, where he built and led a team of research scientists responsible for designing and building big data solutions for optimising and managing home energy usage as well as intelligent scheduling of clean (solar, wind) and conventional power sources. Before Greenwave, he spent close to two years on simulation and optimisation of rotables inventory positioning to minimise aircraft on ground (AOG) disruptions for the Airbus A380. Kong Wei was an adjunct assistant professor at the School of Information Systems, Singapore Management University, where he collaborated on research in Artificial Intelligence and Operations Research. He was also a research scientist at A*STAR, Singapore’s national R&D agency. Kong Wei graduated with First Class Honours from Nanyang Technological University in 1996, and a Master’s as well as PhD in Machine Learning from Carnegie Mellon University, USA in 2000 and 2004, respectively. O U R L E A D E R S H I P A N N U A L R E P O R T 2 0 2 1 0 4 5
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