Summary
Timothy Wu is a Software Development Engineer at AWS with 11 years of experience focused on AI/ML, big data, and scalable cloud systems. He has driven production-grade integrations for SageMaker—leading MLflow support, region automation that cut deployment time by 91%, and robust deletion and feature-flag frameworks used by enterprise customers. Timothy combines hands-on ML workflow orchestration and infrastructure automation with reliability engineering, having halved weekly Sev-2 incidents and improved workflow robustness and throughput across multiple projects. His background in applied and computational mathematics and an MS in Applied Data Science informs pragmatic, data-driven solutions from model training to operational observability for generative AI. Early career work spans ML model improvement, custom data tooling, and teaching discrete methods, reflecting both technical depth and a talent for translating complex concepts for others. He’s equally comfortable optimizing low-level pipelines and enabling large teams to run safe, large-scale ML experiments in production.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Arts - BA, Applied and Computational Mathematics + Computer Science Minor, Bachelor of Arts - BA, Applied and Computational Mathematics + Computer Science Minor at University of Southern California