Summary
Victor Trinh is a software engineer based in Toronto with 8 years of experience building backend and ML-driven systems for high-scale products. He has shipped production services at Amazon (low-latency ML recommendation pipelines) and Instacart (consolidated coupon endpoints and a time-sensitive Fresh Funds pilot), and now contributes to Augment’s engineering efforts. Comfortable across full-stack and data-heavy backends, he has hands-on experience with Ruby on Rails, gRPC, Memcached and large-scale pipelines that serve hundreds of thousands of requests per hour. Victor also has a background in tooling for ML researchers from his time at ModiFace, which complements his production ML systems work. A University of Toronto CS graduate with a strong GPA, he’s the sort of engineer who steps into partially-owned projects and drives them to launch under tight deadlines. Notably, he pairs product-minded delivery with a practitioner’s curiosity about the infrastructure that makes ML and real-time services reliable.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, 3.71 / 4.00 GPA, Bachelor's degree, Computer Science, 3.71 / 4.00 GPA at University of Toronto
Ontario Secondary School Diploma, Ontario Secondary School Diploma at Emily Carr Secondary School
English, Chinese