Zhixiang Teoh is a software engineer in Ann Arbor with six years of experience building backend, mobile, and distributed systems for machine learning and data-intensive applications. Currently on DoorDash’s Launchpad team, he works across Android and backend while drawing on internships at Google (Chrome Intelligence) and Meta (WebXR samples featured on Facebook’s developer blog). His academic record spans University of Michigan and University of Pittsburgh with near-perfect GPAs and a strong mathematics and computer science foundation. In research roles he reduced an encoder model’s training time by 90% through caching and dataset shuffling and contributed to QoS-aware multi-tiered memory system work, reflecting a focus on performance and systems optimization. At startups he implemented a real-time geolocation streaming service and a graph-based backend for user networks, demonstrating practical experience shipping scalable services. Approachable on GitHub and fluent across languages and deployment tooling, he pairs rigorous theory with hands-on engineering to take ML and backend systems from prototype to production.
Master's degree Computer Science and Engineering, Master's degree Computer Science and Engineering at University of Michigan
Bachelor of Science - BS, Computer Science and Applied Mathematics, 4.0, Bachelor of Science - BS, Computer Science and Applied Mathematics, 4.0 at University of Pittsburgh
Mathematics and Computer Science, Mathematics and Computer Science at National University of Singapore
Contributions:6 PRs, 88 pushes, 10 branches in 1 month
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