Albert Chan is a versatile machine learning and data engineer with a decade of experience building predictive systems and rapid prototypes across industrial IoT, automotive telematics, and digital forensics. He’s delivered production-focused feature engineering and model work at companies like Praemo and IMS—achieving >98% accuracy on mobile-sensor activity classification—and has a strong foundation in Python, Keras, C#, and streaming technologies. Albert pairs academic rigor from the University of Waterloo with hands-on embedded and Arduino prototyping for healthcare wearables, showing comfort across hardware and software boundaries. Currently at Alvéole, he brings a practical, impact-driven mindset informed by a curiosity about systems thinking and a habit of learning via books spanning business, social issues, and decision theory. Unobvious but telling: he frames personal insight through his reading list, signaling a reflective approach to engineering and philanthropy.
10 years of coding experience
4 years of employment as a software developer
Honours Science Program, Honours Science Program at CEGEP - John Abbott College
Bachelor of Mathematics, Bachelor of Mathematics at University of Waterloo
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