My Experience
"You are the sum total of everything you've ever seen, heard, eaten, smelled, been told, forgot - it's all there. Everything influences each of us, and because of that I try to make sure that my experiences are positive."
Maya Angelou
About Me
I'm a computer scientist focused on applying machine learning to early-stage venture capital in Europe. 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. In addition to machine learning, I'm passionate about web3, distributed systems, and information security.
Experience
Moonfire Ventures
Partner
November 2020 – Present
London, England, United Kingdom
At Moonfire, I’m responsible for the definition and delivery of the firm’s technology strategy. The majority of my time is spent architecting and engineering our software, sourcing and processing massive datasets, and developing machine learning solutions which allow Moonfire to leverage this data to make successful investments. The remainder of my time includes more traditional investment partner responsibilities such as contributing to the management of the investment lifecycle, sourcing and evaluating investment prospects, and advising portfolio companies.
Workday
Machine Learning Architect
April 2020 – November 2020
London, England, United Kingdom
After helping to build, launch, and scale a distributed embedding-based search and recommendation system, I was promoted to Architect (Workday’s Director-level IC role) and my responsibilities shifted to emphasize explicit focus on establishing and unifying the architecture and strategy for wider data science and engineering initiatives in an effort to optimize for the velocity and rigor of methodological inquiry as well as the long-term scalability and stability of the platform across all research and engineering groups.
Principal Machine Learning Engineer
March 2019 – April 2020
Boulder, Colorado, United States
At Workday, I joined the Machine Learning organisation to lead the architecture, implementation, and productionalisation of a distributed embedding-based search and multi-document matching engine. I led the design and delivery of several different parts of the stack which we successfully launched and scaled in support of several generally available Workday products with the Recruiting, Learning, and Talent product organisations.
Mila - Québec Artificial Intelligence Institute
Machine Learning Research Engineer
May 2019 – May 2020
Montréal, Quebec, Canada
At Mila, I worked on software and infrastructure engineering objectives for a project which aimed to raise awareness and conceptual understanding of climate change by depicting accurate and personalized outcomes of climate change using cutting-edge techniques from artificial intelligence and climate modeling.
Kolide
Co-Founder & CTO
July 2016 – January 2019
Boulder, Colorado, United States
As the Co-Founder and CTO of a small venture-backed infrastructure analytics startup, I built and led a high-performing, fully-remote engineering organisation with engineers in every US timezone. I also acted as the lead the architect and developer for almost all of our backend, infrastructure, and operating system software. As Co-Founder, my role also allowed me to spend time as a frequent author of blog articles, part-time salesman, periodic financial negotiator, persistent pedagogue, etc.
Engineering Manager
October 2015 – June 2016
Menlo Park, California, United States
After working as an individual contributor at Facebook, I became the Engineering Manager of the Intrusion Detection Infrastructure team. We were responsible for understanding the highest value components of Facebook's infrastructure and building systems to maintain deep insight into this infrastructure. In order to create real insight, we built realtime analytics infrastructure to understand and react to this data in realtime.
Software Engineer
February 2014 – October 2015
Menlo Park, California, United States
I joined the team at Facebook to work on improving operating system analytics capabilities, specifically on production Linux and macOS which were falling behind Windows tools from vendors. To accomplish this across all of Facebook's environments, I created the osquery project and widely deployed it throughout corp and production with enormous help from an amazing team. Osquery is the most starred security project on all of GitHub!
Etsy
Senior Software Engineer
July 2013 – February 2014
Brooklyn, New York, United States
After helping to establish several aspects of Etsy’s infrastructure and application security practices, I was promoted to Senior Software Engineer where I was the youngest Senior Engineer in the history of the company as well as the only engineer to have ever been an active participant in both the Engineering and Operations on-call rotations.
Software Engineer
October 2012 – July 2013
Brooklyn, New York, United States
While I was at Etsy, I was a Software Engineer working at the intersection of data science and distributed data systems. I spent a lot of time working on Etsy's distributed data analytics infrastructure and sharded MySQL infrastructure. I also built a custom host intrusion detection system for generating operating system telemetry across Etsy's infrastructure. Leveraging this data, I also built realtime analytics infrastructure to analyse this operating system telemetry in order to detect anomalies and compromise.
iSEC Partners
Security Engineer
August 2011 – October 2012
New York, New York, United States
At iSEC Partners, I was a penetration tester and security researcher, specialising in cryptography, secure protocols, and operating system security. I did research on mobile device exploitation, programming language security, and mobile application security.
Gotham Digital Science
Security Engineer
January 2011 – August 2012
New York, New York, United States
I did security assessments for GDS while also attending University. I participated in infrastructure and application assessments for a variety of large financial and technology companies.
Open-Source Experience
Kubernetes
Kubernetes Contributor
June 2018 – January 2021
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.