Summary
Zhiwei Chu is an AI researcher and PhD candidate at Purdue with nine years of experience building production-ready ML and robotics systems across academia and industry. He has delivered end-to-end solutions—from Triton-powered inference services on GPU clusters and Kubernetes deployments to autonomous health management, fault detection, and event-driven control systems integrated with physical testbeds. His internships at Microsoft and automotive labs yielded large-scale network simulation workflows and ADAS/automated parking prototypes, demonstrating a practical focus on real-world perception and systems engineering. Now at Atlassian, he blends research rigor with deployment experience, particularly in cross-system communication and closed-loop agent control showcased in live demos with multi-institution integration. Fluent in English and skilled across Python, .NET, C#, and containerized GPU inference, he pairs deep technical breadth with hands-on demonstrations that prove concepts in hardware-in-the-loop environments.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree Software Engineering, Bachelor's degree Software Engineering at Northeastern University (CN)
Doctor of Philosophy - PhD Computer and Information Technology, Doctor of Philosophy - PhD Computer and Information Technology at Purdue University
English, Chinese