Engineering that holds up in production

Rust-first, memory-safe systems

AI infrastructure that crashes in production is expensive. I use Rust, WebAssembly, and careful systems design to remove whole categories of failure before they reach users.

• High-throughput inference services and model routers
• Zero-allocation hot paths and latency optimization
• WebAssembly modules for browser and edge deployments

NVIDIA and GPU computing

From CUDA kernels to DGX Spark memory planning, I help you get real performance out of GPU hardware instead of leaving it on the table.

• CUDA optimization and unified memory planning
• Distributed training and inference orchestration
• Quantization, batching, and throughput tuning

Production, not prototypes

I have designed and shipped end-to-end AI systems from early prototypes to fully managed production deployments. Every line of code is written with observability, security, and maintainability in mind. When you want that work embedded inside your team rather than delivered over the fence, see forward deployed engineer as a service.