Host: Michelle Casbon

Senior Engineer @Google, Kubeflow Technical Advisory Council Member

Michelle is a Senior Engineer at Google where she focuses on open source machine learning tools and hybrid cloud deployments. Prior to joining Google, she was at several San Francisco-based startups as a Senior Engineer and Director of Data Science. Within these roles, she built and shipped machine learning products on distributed platforms using both AWS and GCP. Michelle’s development experience spans more than a decade and has primarily focused on multilingual natural language processing, system architecture and integration, and continuous delivery pipelines for machine learning applications. Michelle holds a masters degree from the University of Cambridge.

Find Michelle Casbon at

Tracks

Monday, 11 November

  • Architectures You've Always Wondered About

    Next-gen architectures from the most admired companies in software, such as Netflix, Google, Facebook, Twitter, & more

  • Languages of Infrastructure

    This track explores languages being used to code the infrastructure. Expect practices on toolkits and languages like Cloudformation, Terraform, Python, Go, Rust, Erlang.

  • Building & Scaling High-Performing Teams

    To have a high-performing team, everybody on it has to feel and act like an owner. Organizational health and psychological safety are foundational underpinnings to support ownership.

  • Bare Knuckle Performance

    Killing latency and getting the most out of your hardware

  • Ethics, Regulation, Risk, and Compliance

    With so much uncertainty, how do you bulkhead your organization and technology choices? Learn strategies for dealing with uncertainty.

  • Software Supply Chain

    Life of a software artifact from commit to deployment. Security, observability and provenance of the software supply chain.

Tuesday, 12 November

Wednesday, 13 November