October 28–31, 2019
Michal Jastrzebski

Michal Jastrzebski
Staff Data Engineer , GitHub

Michał Jastrzębski is staff data engineer at GitHub, where he builds machine learning infrastructure for internal use. Previously, he was an architect at Intel’s Open Source Technology Center. Michał has a long experience in cloud technologies like OpenStack and Kubernetes, both as an operator and contributor. As former leader of OpenStack Kolla, he managed a community of more than 200 people and almost 40 companies. Michal has been involved with machine learning on Kubernetes communities like Kubeflow.


11:00am11:40am Wednesday, October 30, 2019
Location: Grand Ballroom A/B
Hamel Husain (GitHub), Omoju Miller (GitHub), Michal Jastrzebski (GitHub), Jeremy Lewi (Google)
Average rating: ****.
(4.50, 2 ratings)
Software development is central to machine learning, regardless of if you're prototyping in a Jupyter notebook or building a service for millions of users. Hamel Husain, Omoju Miller, Michał Jastrzębski, and Jeremy Lewi show you how to use a freely available, natural language dataset to build practical applications for anyone who writes software using TensorFlow. Read more.
  • O'Reilly
  • TensorFlow
  • Google Cloud
  • IBM
  • Databricks
  • Tensor Networks
  • VMware
  • Amazon Web Services
  • One Convergence
  • Quantiphi
  • Lambda Labs
  • Tech Mahindra
  • cnvrg.io
  • Determined AI
  • Inferencery
  • Manceps, Inc.
  • PerceptiLabs
  • Valohai

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