I’m a computer scientist working on machine learning and distributed systems. I’m passionate about deep learning approaches to natural language problems, deep reinforcement learning, and the effective design, implementation, and operation of distributed systems in high-throughput production environments.
Professionally, I’m currently a Machine Learning Architect at Workday where I work across the organization in an effort to improve the scalability and stability of our software and infrastructure while also increasing the velocity, rigor, and reproducibility of our research.
Before Workday, I was the Co-Founder and CTO of 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 as an Engineering Manager and Software Engineer at Facebook as well as a Software Engineer at Etsy.
While working at Facebook in 2014, I created and open-sourced a tool called osquery which exposes a SQL interface to a fleet of computers for fast, flexible operating system monitoring. Osquery has since become a foundational tool in the information security and compliance industries.
Outside of work, I’m an avid outdoors enthusiast. I like to train for and participate in a variety of mountain sports including rock climbing, skiing, and adventure motorcycling. I also play the electric and upright bass. The bass fulfills an extremely foundational role in the rhythmic structure of music and that has always drawn me to the instrument.
Osquery configurations often start simple and static, but, as the complexity of an osquery deployment grows, the level of dynamicism …