Summary
Sanjif Rajaratnam is a Senior Machine Learning Engineer with a decade of hands-on experience building, validating, and operating production ML platforms and AI systems in regulated, uptime-critical environments. He specializes in enterprise MLOps and LLM systems, having owned and scaled TD’s Azure Machine Learning platform to 400% adoption growth and 531% YoY cloud consumption while preserving stability and security. His background in real-time autonomous robotics and on-device computer vision gives him a practical edge in designing agentic systems, failure-mode analysis, and safe operation at the edge. He has deep experience creating secure model onboarding, CI-based model scanning, and LLM observability tooling that translate regulatory and business requirements into auditable platform capabilities. Recognized with TD’s Legendary Award, he combines platform-level architecture and reliability ownership with an IC mindset that ships infrastructure improvements reducing provisioning time from days to under 20 minutes. Now at Coinbase, he continues to apply enterprise-grade reliability and validation practices to scale mission-critical ML infrastructure.
10 years of coding experience
7 years of employment as a software developer
Master of Applied Science (MASc), AI, Machine Learning, Computer Vision, Robotics, Master of Applied Science (MASc), AI, Machine Learning, Computer Vision, Robotics at University of Toronto
Bachelor of Applied Science (BASc), Mechanical Engineering, Bachelor of Applied Science (BASc), Mechanical Engineering at University of Waterloo
English, Tamil