Summary
Lewis Panos is an On-Device ML Infrastructure Engineer with eight years of software experience and a strong foundation from the University of Toronto in Computer Science. He has progressed from Android co-op roles at CIBC to full-stack development and embedded/ML-focused engineering at Tenstorrent, culminating in his current role at Apple. Comfortable in Python, Java, and Kotlin, Lewis combines mobile and systems experience to optimize machine learning workloads directly on devices. He has a track record of moving between startup and large-company environments, shipping production software across the stack. Notably, his career shows early Android specialization evolving into low-level ML infrastructure—hinting at a practical blend of user-facing and performance-critical engineering. Based in Old Toronto, he brings both academic rigor and hands-on delivery to on-device ML challenges.
8 years of coding experience
4 years of employment as a software developer
Honours Bachelor of Science Computer Science, Honours Bachelor of Science Computer Science at University of Toronto