Summary
Zixin Huang is a software engineer with nine years of experience building large-scale, low-latency distributed systems and AI-driven infrastructure. Currently a founding member of technical staff at Phylo in Toronto, they are focused on scaling autonomous scientific research with AI agents and shipping agent infrastructure for scientific workloads. Previously at Microsoft they built real-time AI content moderation platforms handling 100B+ items per month and deployed SLM classification and extreme-harm image moderation for major gaming customers. Earlier work at Rogers contributed to 5G MEC services for low-latency edge applications, and a background in cognitive science, computer science, and statistics informs a practical, research-aware approach to system design. Comfortable across cloud-native, Kubernetes, and large backend services, Zixin combines product-minded engineering with a curiosity for automating scientific discovery.
9 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree, Cognitive Science, Computer Science and Statistics, Bachelor’s Degree, Cognitive Science, Computer Science and Statistics at University of Toronto
English, Chinese