Mateusz Pytel
Principal Data Engineer Data & AI Architect
Krakow, Lesser Poland Voivodeship
Summary
👤
Senior🎓
Top SchoolMateusz Pytel is a Principal Data Engineer and Data & AI Architect with over 15 years of experience designing cloud-native Data/AI/ML platforms that take projects from prototype to production. He specializes in MLOps and GenAI, automating ML lifecycles and driving cost-effective, scalable solutions across GCP and Azure while leveraging tools like Vertex AI, MLflow, Kedro and LangChain. His background blends DataOps, DevOps and software engineering, ensuring architectures are operationally robust and business-focused. A proven leader at GetInData/Xebia and former hands-on builder at Ocado and iZettle, he has repeatedly improved performance, scalability and observability for large data platforms. Based in Krakow, he combines deep Python expertise with infrastructure-as-code (Terraform, Kubernetes) to streamline deployments and reduce technical debt. Less obvious: he often bridges product and platform teams to turn exploratory analytics into repeatable, production-grade pipelines.
9 years of coding experience
12 years of employment as a software developer
Master of Science (MSc) Computer Science, Master of Science (MSc) Computer Science at AGH University of Krakow
English, Polish
Stackoverflow
1reputation
0reached
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Github Skills (44)
kubeflow10
kedro10
docker-image9
python9
machine-learning9
mlops9
k8s9
kubeflow-pipelines9
gitlab9
agentic-ai8
vertex8
rails8
gcp8
ruby8
data-science7
Programming languages (7)
Github contributions (5)
getindata/mlflow-docker
Jun 2021 - Apr 2022
Docker image for MLflow.
Contributions:1 release, 14 commits, 1 PR in 9 months
docker-imagemlflowmlops
getindata/kedro-vertexai
Mar 2022 - Sep 2022
Kedro Plugin to support running workflows on GCP Vertex AI Pipelines
Contributions:42 reviews, 31 commits, 68 PRs in 6 months
gcpkedrovertexvertex-aimachinelearning
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