Daryl Tan is a Senior Machine Learning Engineer with nine years of experience building production ML systems across autonomous robotics, computer vision, and speech/LLM applications. He has driven perception and scene-understanding work for autonomous vehicles and edge CV solutions, led KYC/anti-spoofing and OCR efforts for fintech, and contributed to Indonesian-centric ASR and LLM initiatives at GoTo. Now at Apple, he combines deep learning research with deployment experience—model compression, multitask heads, and real-time inference on embedded and mobile platforms. An active practitioner and writer, Daryl shares technical deep dives on Medium and competes on Kaggle, reflecting a pragmatic balance of research, product impact, and engineering craft.
9 years of coding experience
8 years of employment as a software developer
Master of Science, Robotics (Control/Machine learning), Master of Science, Robotics (Control/Machine learning) at National University of Singapore
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