Stefan V.

GStreamer | NVIDIA DeepStream | Video technology | Real-time Streaming | AI Integration With a strong focus on GStreamer, DeepStream AI, FFMPEG and extensive expertise in video processing technologies, I have worked for over 30 years as a software architect, designer, and engineer in this area. Analysis, monitoring, multiviewers as well as streaming generators including meta data like SCTE-35, and PSI/SI. In recent years, I have expanded my expertise into AI-driven video processing. For a sports-video technology company and a security company, I have worked on NVIDIA DeepStream pipelines with RTSP camera inputs, real-time inference, object and ball detection, multi-camera processing, and automated camera control. This included optimizing video decoding, inference, tracking, and encoding for NVIDIA GPU and Jetson-based edge systems. Since earning my degree in Computer Science from the Technical University of Eindhoven in 1994, I have specialized in developing high-performance multimedia systems. My expertise spans C#, C++, Python, and cross-platform development on both Linux and Windows environments. I have extensive experience in DVB/MPEG audio and video systems, leveraging technologies such as GStreamer, DirectShow, Media Foundation, Windows Media SDK, FFMPEG, LIBVLC and AWS cloud services for video processing, encoding, and streaming. I have hands-on experience developing and optimizing GStreamer plugins in C/C++ for AI-enabled pipelines, including integration with DeepStream, GPU acceleration, and RTSP-based streaming workflows. I am committed to building high-quality, reliable code through the implementation of automated CI/CD pipelines. My expertise includes integrating automated unit, component, and system testing into the development process using AWS CodeBuild, GitLab pipelines, and GitHub Actions. By leveraging these tools, I aim to ensure continuous integration, robust code quality checks, and streamlined deployment workflows, reducing manual intervention and improving the efficiency and stability of software delivery. My approach focuses on maintaining a high level of code integrity, enabling faster development cycles while ensuring product reliability. Core Technical Skills: Programming Languages: C, C++, C#, Python Video Technologies: DirectShow, Media Foundation, FFMPEG, GStreamer, LIBVLC, SCTE35, MainConcept SDK, Dektec DTAPI, NVIDIA DeepStream, HLS tags. AI & Video Analytics: NVIDIA DeepStream, TensorRT, CUDA, real-time object detection and tracking from RTSP streams Encryption: AES, RSA, OpenSSL, WinCrypt Cloud and DevOps: AWS Services (EC2, AMI, S3, Codebuild, Kinesis Video Streams), Microservices, CI/CD, DevOps pipelines Development Environments: Visual Studio (multiple versions), VSCode, Qt, Eclipse, CMake, GCC, Clang Version Control and Configuration Management: GIT, SVN, ClearCase, CVS, Github, Gitlab Tooling: Jenkins, Github, GitLab, Trac, Jira, Claude Code, Copilot, Codex This technical background supports my ability to build scalable, secure, and efficient video processing systems, with a strong focus on high-performance multimedia applications, , including AI-enhanced, GPU-accelerated real-time video analytics pipelines.