3 years of experience working with production-scale LLM-backed GenAI systems. Backend/Infrastructure/Platform engineer with a passion for SRE/3RE. I love diagnosing problems with systems almost as much as I enjoy fixing them!
Experience
2023 — 2025
2023 — 2025
Mountain View, California, United States
Infrastructure team & Lead SRE!
One of my biggest responsibilities has been a system I inherited ownership of very early in my time: a home-rolled dashboarding and alerting system, React frontend and Python backend (even though KA's mostly a Go shop these days); this was the primary reference for most KPI-based discussions and decisions throughout the org. I also helped pick up a project to containerize our development environment and get it to its current stable state which has halved dev-support tickets.
I've also done a variety of projects around integrating with third-party GenAI LLM providers and, being at a company that not only embraced AI but embraced it early (Khanmigo was announced 2023-03-14, the day after I signed!), I have had the privilege of cultivating a substantial amount of experience using and integrating with these tools -- technologies which are still fundamentally in their infancy despite their widespread adoption!
2021 — 2023
2021 — 2023
Remote
Infrastructure team! Did a variety of projects around keeping the stack compatible with Kubernetes version updates, and a bunch of automating processes.
2020 — 2021
2020 — 2021
Remote
I did a few projects over the term of my contract to help improve the reliability and performance of Glitch's project hosting infrastructure, reduce hosting costs, and better handle spam, phishing, and other forms of abuse on the platform.
Node.js, TypeScript, Javascript, Amazon Web Services/AWS, Terraform
2017 — 2018
2017 — 2018
San Francisco Bay Area
Infrastructure team. Managed integration between AWS and GCP sections of the platform, specifically services and microservices outside the monolithic core, and supported the adoption and usage of Kubernetes for those services. Also provided support to Data Scientists (especially around their tools, like Domino Data Lab, and how they integrated with existing infrastructure), and did some data pipeline work with Flume/Google Dataflow/Apache Beam.
Python, Google Cloud Platform/GCP, Kubernetes, Dataflow/Apache Beam, Amazon Web Services/AWS, Terraform
2015 — 2016
2015 — 2016
Seattle, WA
I worked on everything related to PWS's flagship product, Robiis. This includes:
* Electrical & Hardware Engineering (Motors, sensors, communication, power, cooling)
* Software Engineering (Embedded systems, firmware, Android/iOS app development, cloud services, website design, scalability, payment processing)
* Game Design (Puzzles, game environments, rules, single and multi-player dynamics, robot customizability)
* Creative Development (Story, mostly in terms of integrating relevant scientific facts into the game story as accurately as possible, as well as developing the story to include more educational information)
* Research & Development (Always trying to innovate cheaper, more reliable robots with "cool" functionality)
* Presentation and Public Speaking
* Education (Teaching children how to use the robots, app, and play our game, plus answering questions about how the robots and game pieces work. Also more fundamental principles of education, including some developmental psychology and formation of identity and stereotypes)
Education
University of Washington
BS
2005 — 2009