Summary
Yibo Guo is a pragmatic software engineer and machine learning researcher with eight years of experience and a proven track record optimizing ML inference, computer vision, and distributed systems. He blends academic rigor from PhD research in biomedical informatics and distributed ML with hands-on engineering at Meta, where his intern projects sped prototyping from hours to seconds and hardened inference CI/CD pipelines. Comfortable translating high-level project goals into reproducible systems, he has designed reusable benchmarking suites and resolved critical runtime failures through cross-team collaboration. Based in Cleveland, he is known for turning research prototypes into production-ready tooling and for proactively supporting teammates to scale complex ML infrastructure.
8 years of coding experience