I specialize in building, optimizing, and deploying machine learning pipelines that run efficiently on consumer hardware. My expertise lies in Python development, local inference architecture, and solving complex memory orchestration challenges for resource-heavy models without relying on cloud compute.

My core services include:

AI Systems Architecture: Designing and deploying local inference pipelines using PyTorch and ONNX Runtime.

Python Automation & Tooling: Writing robust, maintainable Python scripts to automate complex workflows and data processing.

App Packaging & Deployment: Compiling and packaging custom Python applications (ARM64/x64) for native, offline execution.

Memory Optimization: Engineering sequential memory hot-swapping and CPU-based inference solutions to prevent hardware exhaustion.

I build practical, hardware-aware solutions. If you need custom generative AI workflows, desktop app integration, or robust Python engineering, let's build it.