DBOS is a serverless platform for building reliable/durable backends. We provide lightweight workflows and durable execution using simple decorators in your code, and we don’t charge for CPU wait time. We’re faster and cheaper than similar offerings because of our novel architecture.

Head of all products at Lambda. Responsible for the entire product roadmap and future product strategy. Manage a team of Staff/Principal PMs and Group PMs. Launched our flagship product, 1-Click-Clusters, two months after joining, getting it out the door a week early.

Architect paired with a Director for the Alexa Operational Excellence team to make her faster, more reliable, more accurate, and more efficient, and improve overall customer experience. A combination of DevOps and MLOps with a focus on ML infrastructure. Currently solving the problem, "How do you measure the accuracy of a stochastic AI system?". Part of the primary contact team between AWS and Alexa. Designed and shepherded observability tools for a real-time, reactive system, reducing Alexa latency by 12% annually. Filed two speech-processing related patents and one observability patent.

We made a SQL interface to manage your cloud. Shut down the company after two open source programs dropped doing the same thing. It's hard to compete with free!

We ran your cloud infrastructure so you didn't have to. Made CI/CD tools and did consulting. Successfully exited.

We joke that we are a logging company that plays movies, my job is to make that truer. Answer the question “How do we collect and store our data to make it easiest for our Engineers to produce, utilize and consume?” Make data a 1st class citizen at Netflix. Hone the data story from the beginning of the pipeline to the end. Align our data story throughout the company. Create and evangelize data best practices. Discover and disseminate data patterns and anti-patterns. Curate the Netflix Data Platform

Design systems to scale and deliver a great experience, and make sure that when someone wants to play a movie on Netflix, they can. Founding member of Netflix's first SRE team. Primary technical contact between AWS and Netflix. Created the role of Chaos Engineer.Work throughout the company evangelizing best practices for reliability and resilient architecture. Be the call leader for major outages driving a quick resolution and alleviating customer impact as quickly as possible. Write tools (generally in Python) to improve reliability and information flow throughout the company. Help with hiring and recruiting. During my tenure the team grew to 11 members and reliability increased by an order of magnitude.

Moved reddit from the datacenter to the cloud. We were the first major website hosted fully on AWS. I was the primary technical contact between AWS and reddit. Managed the entire engineering team after the departure of the founders and other founding engineers, and grew the engineering team 3x in that time.Responsible for all technology including system architecture, hiring, managing all engineers, capacity planning, budgeting, operations, vendor relations, and keeping costs down by maximizing automation while minimizing infrastructure. Involved in the design and testing of all major site features, marketing, determining new product directions and ideas, writing open source code, promotion, management of a 18M+ user community, and all other aspects of running reddit.com, an Alexa global top 100 website with one of the largest Pylons installations on the internet. Oversaw a 30X traffic growth. Required to be an expert on how the system works end-to-end and learn and integrate new technologies quickly. Represent reddit at major conferences as an expert in virtualized environments (aka Cloud Computing) and rapid website scaling.

Assist the product development team by maintaining their test lab and performing product evaluations to certify products for inclusion in the eBay platform. Primary focus was Solaris/Unix administration and network configuration. Also administering IBM Bladecenters, Netscalers, F5's, XServ Raids and myriad other specialty hardware.

Developing fraud detection and prevention software; investigating computer crime; developing investigation tools; and serving as a security consultant for the entire organization as well as customers. Developing, deploying and maintaining eBay Inc.'s IDS's and log aggregation in order to protect eBay customer data. Granted multiple security related patents for this work.

All around network/firewall/unix/windows admin.

Developing timelines and executing on special projects as necessary. Major project was coordinating and setting up the technical aspects of running the student elections, enabling 20,000 students to vote for class officers.