I’m a computer scientist currently working at Moonfire Ventures. Moonfire is an early-stage venture capital firm which aims to be the most compelling and best performing early-stage firm in Europe by using data, technology, and machine learning to drive the entire investment lifecycle. Previously, I was the Co-Founder and CTO of Kolide, an infrastructure analytics startup where I built and led a completely remote engineering organization and raised 9.6 million dollars in venture funding. I’ve also worked in engineering and machine learning leadership roles at Facebook, Etsy, and Workday.
A passionate open source leader and contributor, I created and open-sourced osquery while working at Facebook in 2014. Osquery has since become a foundational tool in the information security and monitoring industries. Osquery is now an industry standard when it comes to securing infrastructure and is actively used by thousands of companies all over the world to detect and respond to security threats, data breaches, and other critical incidents.
In addition to my work at Workday which focused on large-scale deep learning for natural language, I’ve also worked as a Research Engineer at Mila, a leading academic deep learning lab, on a project which combines state of the art deep learning for computer vision and climate science to make an impact in the battle against climate change. Mila is recognized globally within the academic community for it’s significant contributions to the field of deep learning and has distinguished itself in the areas of language modelling, machine translation, object recognition, and generative models.
An experienced distributed systems engineer and a seasoned Kubernetes administrator and developer, I’ve been using Kubernetes in production since 2016. I was also a member of the Kubernetes core contributor team from 2018 until 2021 where I served on the Release Team for four releases as well as participated in several Working Groups and Special Interest Groups. I led my team at Kolide to build and operate what was one of the largest Kubernetes clusters in Google Cloud’s GKE at the time and built cutting-edge autonomous infrastructure management software to operate and scale our clusters.
In addition to my professional and academic interests, I’m also excited about the outdoors, fitness, nutrition, and exercise science. I like to train for and participate in a variety of combat and mountain sports including Muay Thai, rock climbing, and skiing. I also play the electric and upright bass. The bass fulfils an extremely foundational role in the rhythmic structure of music and that has always drawn me to the instrument.
During my time working with SIG Release, I was an active member of the Kubernetes Release Team for 4 consecutive releases. Much of my work during my first few releases consisted of systematically re-architecting the release notes generation and distribution process from an extremely manual process to a software-powered process. During my last release, I co-lead the release alongside Aaron Crickenberger and Ben Elder. Throughout my time working with SIG Release, I learned a lot about how Kubernetes is built and released, how features are prioritized, etc.
Passionate about multi-tenant deployment environments, I also contributed to the Multi-tenancy Working Group during it’s earliest days. I was an active participant in early architecture discussions and I contributed to early software development prototypes of a Kubernetes Custom Resource and Operator for managing multi-tenant workloads.
Osquery configurations often start simple and static, but, as the complexity of an osquery deployment grows, the level of dynamicism …