Summary
Kyrel Jerome is a software engineer with 10 years of experience building large-scale perception and ML systems for robotics and automation. At Amazon Robotics he designed cross-hardware C++ frameworks and scaled edge ML pipelines in Kotlin, TypeScript, and C++ to operate 400+ CV workcells processing 150K+ item moves per day, while cutting incident tickets and on-call load by over 80%. He also rolled out AWS Lambda + SageMaker pipelines to reduce human-in-the-loop intervention across millions of videos and built low-overhead ML health checks that materially improved defect rates. Comfortable across cloud, edge, and embedded stacks, Kyrel pairs production-grade systems engineering with hands-on tooling (C++, React, Python) and operational automation. A Toronto-based HBSc computer science and applied statistics graduate, he’s driven by using automation to empower public-scale systems and has a track record of squeezing high efficiency out of constrained compute environments.
10 years of coding experience
5 years of employment as a software developer
HBSc - Honours Bachelors of Science Computer Science and Applied Statistics, HBSc - Honours Bachelors of Science Computer Science and Applied Statistics at University of Toronto
English, French