Summary
Dianmu Zhang is a Lead AI/ML Engineer with a PhD in Electrical & Computer Engineering from the University of Washington and a decade of experience translating cutting-edge research into production systems. She spent four years at Microsoft shipping vision and interaction models to billions of users—working on ink prediction, Re-ID, multi-object tracking, background blur, and on-device ML optimizations—and holds an approved patent and publications in top AI venues. More recently she founded GrahamAI, led generative-science imaging at BioRender, and now drives applied AI at Optum, blending product-facing engineering with deep research rigor. Known for mentoring teams and authoring practical ML best-practice guides, she pairs strong academic foundations with a pragmatic track record of moving algorithms from prototype to scale. A Seattle-based corgi enthusiast and US permanent resident, she brings both cross-organizational leadership and hands-on model deployment expertise.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Electrical & Computer Engineering, Doctor of Philosophy - PhD Electrical & Computer Engineering at University of Washington