I am a software engineer experienced in building highly-polished consumer software experiences and growing agile teams. I have 8 years of experience at startups and growth companies.
I worked on Peloton’s order experience and led a cross-platform e-commerce growth team.
◦ Team Lead: Worked closely with the product manager and stakeholders to align engineering work with product requirements and timelines through documentation, scope adjustments, and milestones
◦ Mentor: Partnered with less experienced engineers, enabled them to lead projects, and helped them learn about product engineering and strategies like split-testing and agile development
◦ GraphQL Federation: Drove a large, cross-team initiative to adopt GraphQL Federation, creating a common data layer for our microservice infrastructure.
◦ Feature Lead: Built impactful, customer-facing features such as scheduling, order updates, and upsells
◦ Full-Stack: Worked in a full-stack capacity, using React, TypeScript, JavaScript, Kotlin, Python, and Node.js
◦ Team Development and Leadership: Introduced software development practices like pair programming, design documentation, continuous integration, and writing user stories to build out a high-performance team
I focused on the company’s frontend top-of-funnel and frontend infrastructure.
◦ Technical Leadership: Led a frontend infrastructure team to support casper.com, encompassing server-side rendering, shared libraries, and a common design system
◦ Automation: Integrated CMS with e-commerce site, giving nontechnical users the ability to make changes to the site without engineering involvement and allowing for a 10x in product velocity
◦ Testing: Introduced testing standards and end-to-end tests, reducing production issues by 75%
At Knewton I helped develop an AI/ML educational platform and launch an educational product to help teachers teach math and science courses.
◦ Startup Building: Led the development of a TypeScript-React-Redux-GraphQL frontend working with a lean team to scale a consumer application from 0 to 100,000 students
◦ Recommendation Engine: Created a a Python-based CMS to allow content editors to create educational courses powered by an AI-based recommendation engine
