Thomas Kwok is a skilled Machine Learning Engineer with extensive experience in developing innovative solutions in the healthcare and technology sectors. At Dyad, Thomas designed and implemented a clinical letter processing system enhancing primary care decision-making and conducted advanced research in healthcare AI. As a Machine Learning Product Developer at Lambda Sense Limited, Thomas developed backend systems for real-time ML model training and data processing. At OOCL, Thomas engineered a news processing system utilizing NLP algorithms for logistics insights and created a strategic optimization platform for container shipment schedules. During an internship at Kwonnie Electrical Products Limited, Thomas developed a self-mapping floor cleaning robot and designed SLAM-based algorithms. Currently, at Meta, Thomas is part of the Integrity Team, focusing on deploying ML solutions to protect users from malicious activities. Thomas holds a Bachelor of Engineering in Electronic and Communication Engineering with a Minor in Computing from the City University of Hong Kong.
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