Summary
David Scott is a Senior Machine Learning Engineer with eight years of experience building production ML systems across edge devices, logistics, and cybersecurity, currently driving ML infrastructure and real-time CV/ETA solutions at Instacart. He combines deep technical skill in distributed training, embedded inference (Jetson, Android, TFLite), and MLOps (Kubernetes, Terraform, Ray) with a track record of patents pending for latency and hardware optimizations. A Métis engineer with an M.Sc. from University of Alberta and Tsinghua experience, he is bilingual in Chinese and English and has lived and presented research in China, which gives him cross-cultural fluency useful for international teams. He has led small teams, shipped impactful fault-detection and threat-detection systems, and helped save substantial operational costs through applied signal-processing and ML. David enjoys the outdoors and language learning, reflecting a curious, growth-oriented mindset that fuels both technical leadership and community building.
8 years of coding experience
6 years of employment as a software developer
Master of Science in Computer Process Control, Computer Engineering, Master of Science in Computer Process Control, Computer Engineering at University of Alberta
Master of Science - MS, Department of Automation , Master of Science - MS, Department of Automation at Tsinghua University
English, Spanish, Chinese