Summary
Zhiwei Ren is an applied scientist and PhD candidate in computer science at the University of Pittsburgh with nine years of industry and research experience across NLP, time series forecasting, and applied computer vision. He has interned as an Applied Scientist at Amazon and built production-focused tools at VMware, including a Chrome DevTools extension and CI/CD automation, bridging research prototypes to engineering workflows. His research and engineering background includes developing a 95%‑accurate liquid food counterfeit detection system using Detectron2/OpenCV and a cross-platform Flutter app, reflecting strength in end-to-end ML productization. Comfortable across web stacks and ML pipelines, he blends academic rigor from UC San Diego and Leeds with hands-on software engineering to move models into usable systems. Notably, he pairs deep-learning research interests with practical tooling experience that accelerates team productivity and deployment.
9 years of coding experience
1 year of employment as a software developer
University of California, San Diego
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Pittsburgh
English, Chinese