Micha Jastrzbski serves as a Principal Machine Learning Engineer at Ginkgo Bioworks, Inc., where he plays a pivotal role in advancing the intersection of biology and technology. With a robust background in cloud engineering and machine learning infrastructure, Micha leverages his expertise to streamline the...
Micha Jastrzbski serves as a Principal Machine Learning Engineer at Ginkgo Bioworks, Inc., where he plays a pivotal role in advancing the intersection of biology and technology. With a robust background in cloud engineering and machine learning infrastructure, Micha leverages his expertise to streamline the engineering of biological systems. His proficiency in Python, combined with his experience as a former OpenStack Kolla Project Technical Leader, positions him as a key contributor to Ginkgo's mission of making biology easier to engineer.
At Ginkgo, Micha is currently spearheading several key projects focused on developing scalable machine learning frameworks that enhance the efficiency of biological data analysis. His contributions to Kubeflow are particularly noteworthy, as he integrates cutting-edge tools and methodologies to optimize machine learning workflows in a cloud-native environment. By architecting robust infrastructure, Micha ensures that Ginkgo's teams can harness the power of data-driven insights to drive innovation in synthetic biology.
Micha's technical skill set is extensive, encompassing languages and technologies such as JavaScript, PostgreSQL, and MySQL, alongside a strong foundation in Test Driven Development and Agile methodologies like Scrum. His adeptness with virtualization technologies, including VMware vSphere, and his proficiency in shell scripting further enhance his ability to create resilient and efficient systems. As Ginkgo Bioworks continues to push the boundaries of synthetic biology, Micha Jastrzbski remains at the forefront, transforming complex biological challenges into engineered solutions through the power of machine learning and cloud infrastructure.
