I like building products for developers and researchers, and getting them adopted. I work on applied AI research and explore independent research ideas.
Most of my projects started with a gap: fragmented tooling, or a capability nobody had built a product around. I like designing the first version, growing it, and figuring out what business fits around it.
I started coding at 14, mostly building websites, and fell into machine learning by accident at 16. I've been at it professionally for about eight years now.
Some of that work you may have bumped into. I co-authored the YOLOv8 model family, led the development of YOLOv5-seg, the first instance-segmentation model to run in real time on a CPU, and software I've helped build gets downloaded millions of times a week. The papers and releases have collected 17,000+ citations, a lot of them pointing at release notes, which still amuses me.
I also write and speak about what I build: technical guides, conference talks on retrieval and reranking, and 30+ videos taking ML systems apart. A course lesson I taught reached about 950 students.
The independent research is mostly multimodal representations, world models, and architectures that are not just bigger transformers. Off hours it's philosophy books and more music than is reasonable.
This site is hand-written HTML, no framework, no build step.