About Sicheng Ouyang
I'm Sicheng Ouyang, a Software Engineering student at the University of Waterloo, Class of 2030. I build reliable software and practical AI systems.

Current Goal
I want to turn technical ideas into reliable products: clear backend systems, measurable ML workflows, and interfaces that stay out of the way.
Current Focus
- Machine learning algorithms, model evaluation, and reasoning systems.
- AI-integrated architectures and intelligent product workflows.
- Scalable full-stack systems with clean API boundaries and reliable data flow.
- Developer tooling, local automation, and practical abstractions that make daily work faster.
Experience Highlights
- Co-founded and built an A-Level study platform on Tencent Cloud, reaching roughly 1,000 daily active users.
- At Tencent Music, evaluated 10 speech synthesis models across 20+ experiments and improved vocal consistency by 20%.
- Built a React Native map app with location visualization and optimized trail storage and rendering performance.
- Ran handwriting recognition data experiments to 96% accuracy and deployed a local DeepSeek setup used by 20 researchers.
- Currently building inventory tooling, SOP improvements, and website updates for Mui Scientific.
How I Work
I read the source material, build a small prototype, test it with real use or measurable results, and fix what breaks. I care about reliability, cost, clear behavior, and a good user experience.
Skills Snapshot
- Languages: Python, Java, C/C++, JavaScript, TypeScript, HTML/CSS.
- Frameworks and tools: FastAPI, Flask, React, React Native, MySQL, Git, WordPress, LaTeX, Node.js.
- Languages spoken: English, Mandarin Chinese, and basic French.
Outside Engineering
Outside of coding, I like going to the gym, playing tennis, gaming with friends, traveling, and exploring new places through food.
Small Note
If you've made it this far, try the terminal puzzle in the >_ section. I built a few different animations into it and had a lot of fun making the interaction feel personal.