Swee Loke

Swee Loke is an accomplished Lead Machine Learning Engineer at S&P Global, a position held since January 2024, following a tenure as Senior Machine Learning Engineer at KOHO from February 2020 to January 2023. Swee has a solid foundation in machine learning, demonstrated through projects like the Gold Hunter Game and various analyses of user data and investor sentiment during studies at the University of Toronto. Previous experience includes roles at Dell EMC as Software Development Manager, Cisco Systems as Software Development Team Lead, Vanguard Managed Solutions, Avici Systems, and Nortel Networks, amassing extensive expertise in software development and engineering. Swee holds a BMath in Computer Science and Combinatorics & Optimization from the University of Waterloo, an MSc in Computing and Information Science from Queen's University, and certificates in Data Science and Artificial Intelligence from the University of Toronto School of Continuing Studies.