Summary
Wenqing Wu is a software engineer with nine years of experience blending systems research and production engineering, currently at AWS and pursuing a master's in Computer Science at the University of Chicago with a 4.0 GPA. Their work spans edge and IoT back-end systems, GPU kernel scheduling for neural-network inference, and adaptive RNNs on edge devices, with early results published at NSDI ’23. Wenqing has practical industry experience from an SDE internship at AWS SiteWise and impactful open-source contributions at Microsoft, where they doubled ElGamal TypeScript crypto performance used in ElectionGuard deployments. Earlier research at Rice produced publications in HotNets and USENIX Security on programmable data-plane defenses, demonstrating a strong security and networking pedigree. Comfortable moving ideas from research to production, they bridge low-level systems, applied ML, and cloud services while maintaining a knack for performance optimization across languages and platforms. Based in Chicago, Wenqing combines academic rigor with hands-on engineering that drives both novel research and scalable system delivery.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.74/4.0 Major: 3.89/4.0, Bachelor of Science - BS, Computer Science, 3.74/4.0 Major: 3.89/4.0 at Rice University
Master's degree, Computer Science, 4.0/4.0, Master's degree, Computer Science, 4.0/4.0 at University of Chicago
Intensive Study program, Computer Science, A+, Intensive Study program, Computer Science, A+ at Stanford University