Principal Machine Learning Engineer at Ginkgo Bioworks, Inc.
Beaverton, Oregon, United States
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Summary
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Senior
Michał Jastrzębski is a cloud-native technology leader and Chief Technology Officer with 12 years of experience building production-grade ML and infrastructure platforms. He blends deep Python and DevOps expertise with hands-on systems architecture, having led OpenStack Kolla efforts and contributed to Kubeflow and other ML infra projects. His background spans startups and large companies—cofounding bytewax, driving data engineering at GitHub, and architecting ML on cloud at Intel and Ginkgo Bioworks—so he moves projects from prototype to scalable operations. Notably, he improved CI/CD and multinode deployment workflows for the widely used openstack/kolla-ansible project, shaving build times and hardening container behavior. Based in Beaverton, OR, he describes himself as a “cloud enginseer” who enjoys breaking things to learn how to build them better.
Kolla provides production-ready containers and deployment tools for operating OpenStack clouds. Mirror of code maintained at opendev.org.
Role in this project:
DevOps Engineer & System Architect
Contributions:73 commits in 2 years 3 months
Contributions summary:Michał's primary contribution focuses on enhancing the OpenStack Kolla project's operational aspects. They have implemented and refined the logging mechanism by integrating rsyslog for various OpenStack services (Nova, Neutron, Keystone, Cinder, Heat, Swift, Murano). Furthermore, the user demonstrated infrastructure as code skills by modifying Dockerfiles, including the removal of the /dev/log directory on rsyslog start to resolve container race conditions and improving the RabbitMQ upgrade playbook. They have also added critical architecture documentation and introduced a mechanism for Dockerfile customization.
Ansible deployment of the Kolla containers. Mirror of code maintained at opendev.org.
Role in this project:
DevOps Engineer
Contributions:19 commits in 1 year
Contributions summary:Michał primarily contributed to the project by enhancing the CI/CD pipeline and streamlining the deployment process for the Kolla-Ansible project, specifically focusing on multinode deployments and supporting testing scenarios. Their work involved modifying the setup scripts to accommodate multi-scenario testing and incorporating features such as a proxy cache for tarball downloads, which significantly optimized the build and deployment times. They also addressed memory-related issues in the Ceph gates and refactored quickstart documentation.
containerskolladeploymentansibledocker
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Michał Jastrzębski - Principal Machine Learning Engineer at Ginkgo Bioworks, Inc.