Freelance CV Performance Architect • DACH Region

Stop burning budget on cloud GPUs.

I migrate slow, bottlenecked Python AI prototypes into high-speed, zero-copy C++/CUDA production architectures. Hit your FPS targets directly on the edge.

Book a 15-Min Architecture Review See the Data

The Architecture Gap

A recent benchmark of a YOLOv8 object detection pipeline running on live video feeds. The difference between standard Python and optimized C++.

The Python Prototype

  • Max Concurrent Streams 30
  • CPU Usage 100% (Choked)
  • VRAM Consumption 9.1 GB
PRODUCTION GRADE

The C++/CUDA Pipeline

  • Max Concurrent Streams 200+
  • CPU Usage Near 0%
  • VRAM Consumption 2.7 GB

How We Work Together

Inference Pipeline Audit

€1,800 • 3-Day Turnaround

Before refactoring your codebase, we need an exact diagnosis. I use NVIDIA Nsight to profile your existing inference stack and pinpoint the exact memory transfer and compute bottlenecks.

  • Comprehensive GPU/CPU bottleneck mapping
  • VRAM optimization analysis
  • Step-by-step C++/CUDA execution roadmap
  • Fee fully credited if hired for implementation.

Custom C++ Optimization

Custom Quoted

Full migration of your slow Python prototypes into robust, hardware-accelerated C++ applications. Built specifically for your target hardware, from NVIDIA Jetson to heavy RTX servers.

  • Zero-copy unified memory architecture
  • TensorRT engine compilation & quantization
  • Hardware-accelerated media decoding (NVDEC/libav)
  • Multi-stream RTSP processing
Let's discuss your hardware constraints