Pavel P.

I build high-performance C++ systems for real-time computer vision, embedded AI, and video processing pipelines. With over 15 years of experience, I help companies design, develop, and optimize complex software systems — from embedded devices to scalable cross-platform applications. Core expertise: - C++ (11/14/17/20), Qt (Qt5/Qt6, QML) - Computer Vision & AI (OpenCV, YOLO, TensorFlow, PyTorch) - Real-time video pipelines and streaming (GStreamer, RTSP, low-latency processing) - GPU acceleration (CUDA, OpenCL, Vulkan, OpenGL) - Embedded systems (ARM, Jetson, Yocto) - Performance optimization (multithreading, low-latency systems) What I deliver: - End-to-end video processing pipelines (capture → decode → AI inference → rendering/streaming) - Real-time image and video processing systems - AI-based object detection, tracking, and analysis - High-performance GPU and CPU optimization - Embedded camera systems and sensor integration - Clean, scalable, production-ready architectures Selected experience: - Designed and implemented real-time video analytics platforms (YOLO, TensorFlow Lite, GStreamer, RTSP pipelines) - Built multi-camera processing systems for embedded Linux (ARM / Jetson platforms) - Optimized GPU-based pipelines (Vulkan/OpenCL) for mobile and embedded devices - Developed AI-based inspection and quality control systems for industrial applications - Created cross-platform Qt/QML applications with native integrations (Android, Linux) Why clients work with me: - I quickly understand complex systems and deliver practical solutions - I focus on performance, reliability, and scalability - I work independently and communicate clearly If you need a senior engineer to solve complex technical challenges and deliver production-ready systems, feel free to get in touch.