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Mateusz CiesielskiMC
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Mateusz Ciesielski

@mateuszciesielski

Senior software engineer specializing in AI platforms, cloud infrastructure, and MLOps.

Poland
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What I'm looking for

I seek roles where I can lead development of Kubernetes-native AI platforms and MLOps systems, work across cloud environments, and drive production reliability and automation.

I am a senior software engineer focused on building Kubernetes-native AI platforms and cloud infrastructure, with extensive experience designing and operating distributed ML systems and production microservices. I have delivered large-scale, production-ready AI platform deployments, led technical squads, and authored architecture and prototype solutions for distributed inference and model serving.

I specialize in automating platform deployment (Ansible, Helm), Kubernetes operations at scale, and ML-lifecycle microservices (Python, FastAPI, Docker). I have presented on AI topics externally and internally, improved deployment reliability for multi-cloud environments, and contributed to open-source AI projects and production tooling.

Experience

Work history, roles, and key accomplishments

Dynatrace logoDY
Current

Senior Cloud Engineer

Jan 2025 - Present (1 year 2 months)

Expert in Kubernetes CoE designing and automating large-scale Kubernetes clusters supporting thousands of nodes, improving deployment reliability and reducing operational overhead for Azure and GCP day-2 operations.

Intel logoIN

Artificial Intelligence Frameworks Engineer

Jan 2020 - Jan 2025 (5 years)

Technical squad lead for Intel Geti computer vision platform delivering distributed inference and active learning pipelines, authored architecture and prototypes for scalable model serving and edge deployment.

Education

Degrees, certifications, and relevant coursework

University of Gdańsk logoUG

University of Gdańsk

Master of Science, Computer Science

2016 - 2018

Completed a Master of Science in Computer Science with a seminar in Artificial Intelligence and Big Data; thesis on NLP emotion classification using convolutional neural networks.

University of Gdańsk logoUG

University of Gdańsk

Bachelor of Science, Computer Science

2013 - 2016

Completed a Bachelor of Science in Computer Science with specialization in web applications and databases.

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