Kevin Wu’s site is a personal homepage built around a short biography, a blog index, and a work history. It identifies him as a Computer Science student at the University of Waterloo in his 3B term, and frames his interests around trying new things and solving problems he finds meaningful. The tone is deliberately low-key, with no marketing language or product pitch.
The core content is a small set of posts, including one titled “Qwen, Minus the E,” alongside an archive link for all posts. The writing direction leans toward reinforcement learning and post-training research, which he describes as current experimentation and reading. The blog is not a tutorial library; it reads more like occasional technical notes.
The work section lists three internships with brief scope descriptions: observability and load-testing for an agent platform at Scale AI, merchant analytics at Shopify, and data pipeline automation at NationGraph. These entries give a quick sense of his engineering range across data, full-stack, and infrastructure work.
Personal details round out the page, including climbing, manga, piano, a top-3000 Clash of Clans finish in August 2024, and past competitive swimming. Links to Twitter, LinkedIn, and GitHub make it easy to follow his work elsewhere.
For readers, the site works best as a lightweight professional profile and a place to check occasional RL-related write-ups. Anyone seeking a large body of tutorials or a regularly updated newsletter should look elsewh
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