GPU Engineer · Reformed Chemist

Nicholas
Patapoff

My element of choice is CUDA. Atomic number: Divisible by 32.

I write CUDA kernels, GPU-accelerated ML pipelines, and dabble in embedded solutions. Background in chemistry with a breath of computational physics.

Projects

CUDA kernels, ML systems, and low-level optimization work.

Live GPU demos and ML inference running in your browser.

Technical writeups on GPU programming and ML systems.

Resume, skills, and background.