Wayne Nguyen - Personal Portfolio

About me

I'm Computer Science Student at DePauw University with a passion for building scalable Backend and highly efficient distributed systems. I enjoy breaking complex problems into simple subproblems.

My job is to build your product so that it is functional and user-friendly but at the same time attractive. Moreover, I enjoy working on challenging problems so as to make sure that is eye-catching and handy to use.

My specilizations

Infrastructure Development

The most scallable and fault-tolerant design made at a professional level.
Backend and Full-Stack Development

High-quality development of sites at the professional level.
Mobile apps

Professional development of applications for iOS and Android.
Photography

I make high-quality photos of any category at a professional level.

Experience

Education

DePauw University
Computer Science Major Aug 2023 — May 2027
I'm Wayne Nguyen, a CS student interested primarily in backend software development (distributed systems, infrastructure, data platforms).

Experience

Google
Open Source Contributor 2024 — Present
As a top open-source contributor to TensorFlow at Google, I enhanced mobile machine learning efficiency by 20% and cut server processing latency by 40%. My work also included building a mobile AI app that demonstrated a potential $350,000 in annual cloud savings.
University Of Illinois Urbana-Champaign
Research Intern May 2025 — Current
In collaboration with Microsoft researchers, I developed an AIOps application using Kubernetes and eBPF that reduced manual system recovery efforts by 40%. I also built the supporting CI/CD pipeline and monitoring stack, which accelerated container test cycles from 120 to 30 minutes and cut troubleshooting time by 20%.
Ipserlabs
Software Engineering Intern (2010 — 2013)
As a full-stack developer, I increased user signup completion by over 25% by implementing responsive React.js flows. I supported this by building over a dozen Java SpringBoot APIs with Redis caching, which automated more than 1,000 daily customer interactions.
DopikAI
Software Engineering Intern (2010 — 2013)
I designed and deployed a backend microservice for an AI writing assistant using Python Django and AWS Lambda, which serves 10,000 personalized writing suggestions weekly via a GPT-4.0 API. To ensure reliability and safe CI integration, I wrote over 60 unit and integration tests, achieving 90% code coverage.