As a machine learning specialist consultant I am helping companies build and improve advanced machine learning and deep learning solutions. My main focus is in computer vision, streaming video analytics and edge analytics. A large part of my work focus on the engineering aspects and MLOps, an important building block to achieve a more systematic and more efficient development process which increases the organisations ability to iterate fast. By investing in your AI development environment and process for reusability and reproducability you will deliver products and models with higher accuracy, reduced time to market and improved consistency at a lower cost. I can help you design and implement advanced algorithms and frameworks or I can help your team deliver more valuable results and better algorithms by knowledge sharing and strategic leadership.

I have long experience in C, C++ and Python and I have worked both as a senior developer and as a TechLead in video analytics. I have experience from product development and maintenance, I have experience from industry research labs in software and ML and have been at everything from small enterprises to international giants. I have been mentoring new employees, been supervisor for master's thesis students and summer workers and have done speaking and knowledge sharing to teach and inspire people to become the best engineers.

Skills: Linux, Docker, OpenCV, NumPy, SciPy, PyTorch, AWS, embedded Linux, Yocto / OpenEmbedded, unit-testing, DevOps, CI, git, gerrit, gdb & pdb, gcc compiling & linking, low level programming, device drivers, system security analysis, IoT, smart cities, software architecture, open source, sensors, API design and versioning