Summary
Jiri Konecny is an AI engineer and PhD candidate in cybernetics and machine learning at VŠB-TUO with eight years of hands-on experience building full-stack systems, embedded/microcontroller solutions, and ML-driven projects. He combines academic research—working on predictive maintenance for ŠKODA and energy-harvesting IoT sensors in the REFRESH project—with applied engineering roles, from developing a nationwide lab information system to shipping emulators for automotive battery controllers. Comfortable across DevOps, Docker, OCR/LLM integration and .NET stacks, he currently extracts maximum value from AI models at Granton while coordinating programming education initiatives for MTA and VŠB. A pragmatic inventor, he co-founded a safety-focused startup that earned a patent and public accelerator exposure, showing he can take ideas from concept through pitching and deployment. Colleagues describe him as a techno-mage with an artist’s soul—equally at ease with low-level MCUs and high-level ML pipelines.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Industry 4.0, Master's degree, Industry 4.0 at Vysoká škola báňská - Technická univerzita Ostrava