Zhiwei Ren
Applied Scientist Intern at Amazon
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolZhiwei 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
2 years of employment as a software developer
University of California, San DiegoFirst Class Honours Degree Bachelor of Science Computer Science, First Class Honours Degree Bachelor of Science Computer Science at University of LeedsDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Pittsburgh
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
simulation7
hpc-applications7
python5
classification3
deep-learning2
pytorch2
bag1
machine-learning1
multimodal1
tricks1
Programming languages (1)
Github contributions (5)
WhisperRen/MuFA
Jun 2019 - Jul 2021
A tool for multi-type Fourier analysis from micromagnetic simulation output data
Contributions:14 commits, 4 PRs, 13 pushes in 2 years
pythonhpc-applicationsanalysissimulationfourier
WhisperRen/SBG
Jun 2019 - Jul 2019
Contributions:5 commits in 13 days
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