I build infrastructure that allows companies to take advantage of GPU compute systems in the cloud or on consumer hardware to build cutting edge technologies. I have experiences in graphics, CUDA and distributed systems.

My background is in low-level C++ systems: ten years writing C++ for graphics, physics simulation, and game AI. This has given me a particular appreciation for the fundamentals of high-performance systems such as throughput, memory, and correctness. These play a major role in every framework I build. Allowing me to build reliable systems that hold up under the kind of load and accuracy demands that with processing large amounts of sensitive data.

Areas I've worked across:

• Data pipelines and ETL for AI/LLM workflows

• Anthropic API integration, tool use, and automated function-call orchestration

• CUDA for signal processing and numerical workloads

• Vulkan graphics and game engine internals

• Full-stack (Next.js, MERN)

Right now I'm most interested in building systems that turn large datasets into faster, sharper decisions through expanding task automation and improving the quality of initial analysis.