Sampsa Riikonen is a Senior Member of Technical Staff and PhD-trained computational physicist with over a decade of experience building production video streaming and machine-vision systems. He moved from academic research into designing cross-platform (Qt) and cloud-native live video analytics solutions, and today delivers OpenCV and deep-learning based image recognition projects at Silo.ai and AMD Silo AI. Sampsa has led end-to-end products—edge and cloud deployments, Docker/Kubernetes stacks, Postgres-backed web apps and IP/industrial camera integrations—and re-architected real-time streaming frameworks in commercial settings. He maintains a pythonic streaming framework (valkka.fi), signaling a focus on practical, reusable tooling beyond client projects. Based in Helsinki, he pairs rigorous scientific training with hands-on engineering, and is also a father of two—an influence he says keeps his time-management and prioritization sharp.
10 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computational Material Physics, Sobresaliente Cum Laude, Doctor of Philosophy (Ph.D.), Computational Material Physics, Sobresaliente Cum Laude at University of the Basque Country
Data Analytics Pro, Training program for data analytics, Data Analytics Pro, Training program for data analytics at Saranen Consulting
Master of Science (M.Sc.), Physics, Master of Science (M.Sc.), Physics at Aalto University
Suomen Armeija (finnish military service)
Bachelor's degree, General, Magna Cum Laude Approbatur, Bachelor's degree, General, Magna Cum Laude Approbatur at Vuosaaren Lukio
Contributions:129 commits, 5 PRs, 139 pushes in 3 years 4 months
ffmpegsurveillancevideo-surveillancevideo
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Sampsa Riikonen - Senior Member Of Technical Staff at AMD Silo AI