2026-02
Started full-time at Nuro in ML infrastructure
Working on ML infrastructure for faster training, lower-level systems work, and CUDA kernels that support large-scale model development.
I work at the intersection of machine learning and systems, focusing on GPU performance, CUDA kernels, PTX-level optimization, and training and inference efficiency at scale.
Current Obsession
Lately I have been spending a lot of time tuning programs around how the GPU actually behaves. That has taken me deeper into CUDA, kernels, PTX, SASS, and the low-level details behind training and inference performance.
How I Like To Work
I like problems without clean, predefined solutions. The kind that force me to read, benchmark, experiment, and piece things together on my own until the answer becomes clear.
Latest news / updates
2026-02
Working on ML infrastructure for faster training, lower-level systems work, and CUDA kernels that support large-scale model development.
2025-06
Worked on machine learning systems and infrastructure problems in a production environment, with a focus on the tooling and performance work behind large models.
2024-09
Began graduate study at UC San Diego, continuing to focus on machine learning systems, optimization, and research engineering.
2024-06
Completed my undergraduate degree in Computer Science and Engineering with a specialization in Artificial Intelligence.