Summary
Michal Adamczyk is an AI Frameworks Engineer at Intel with a background that moved from hands-on QA and testing into deep learning software and AI frameworks, blending two decades of software-quality instincts with modern ML tooling. He is a Python enthusiast and Docker evangelist who brings practical DevOps expertise—Jenkins, Groovy, Ansible, Kubernetes—into model deployment and infrastructure automation. His career trajectory across Finastra, Misys, and Intel shows a strong track record of evolving responsibilities from L2/L3 support and E2E automation to building scalable AI workflows. Based in the Gdańsk metropolitan area, he pairs an MSc in Applied Physics with a pragmatic engineering mindset, often translating complex system reliability concerns into reproducible CI/CD practices. An uncommon strength is his tester’s attention to edge cases, which he applies to robustness in AI pipelines and production readiness.
2 years of coding experience
14 years of employment as a software developer
Msc, Applied physics, Msc, Applied physics at Politechnika Gdańska / Technical University of Gdansk