Michał Słapek is a software engineer with nine years of cross-disciplinary experience building production systems in SRE, machine learning, and computer vision. Currently at Google working on site reliability, he has previously delivered end-to-end solutions—from Python ML pipelines processing country-scale satellite imagery and NVIDIA Jetson deployments for agricultural robotics to Java gRPC services and Kubernetes-based model serving on AWS. He blends pragmatic engineering (TDD, pytest, SQLAlchemy) with systems thinking, having deployed client-facing RHEL and EKS clusters and optimized large-image PyTorch workflows to avoid OOM failures. Comfortable across languages (Python, Java, Go) and stacks, he also mentors peers and has run technical interviews for client projects. Based in Warsaw with an M.Sc. in Computer Science and a background in mathematics, he favors shipping reliable, maintainable systems that balance research-grade ML with production constraints.
9 years of coding experience
3 years of employment as a software developer
Master of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at Politechnika Opolska
Licencjat (Lic.) Mathematics, Licencjat (Lic.) Mathematics at Uniwersytet Opolski
Contributions:91 pushes, 2 branches in 2 years 10 months
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