PRODUCT LEADERSHIP × MACHINE LEARNING
I ship products.
I train models.
Rasmus Rasmussen — product leader with 25+ years in games and tech, now building small language models, mixture-of-experts architectures, and the data tooling behind them.
rasmus_rasmussen.rawSeattle, WA
01/Selected work
My ReWiz-Llama-3.2-3B model was used in “Model Merging Scaling Laws in Large Language Models” (arXiv:2509.24244).
02/Track record
// the U.S. chapter — 2005 onward
{{ r.title }}
{{ r.org }}
{{ r.desc }}
03/Research velocity
Most of my public catalog is deliberate volume: small, cheap experiments run fast, in series, with the misses left visible. That cadence is how the serious work gets found, whether that's the MoE builds, the data tooling, or the models that end up cited. The through-line is squeezing more out of small models, for edge devices and agentic workflows, where I think the next few years of practical AI get decided. Simulations are what bridged games and AI for me, and I still build ecology sims for fun.
MODEL SERIES ON HUGGING FACE
190+ models · 115+ datasets · 12 curated collections
04/Writing
all posts →rasmus@ras.ms:~$ ./get_in_touch
Building something with AI?
Let's talk.
Product & program leadership for AI startups — from model strategy to shipped.