2022 — 2025
Menlo Park, California, United States
Designed and implemented a system to control the number of successfully delivered marketing emails using Hack and Dataswarm (data pipeline tool). Improved email reach rate from 70% to 90%.
Drove implementation of standardized API for Page level experimentation on web client using Hack and React resulting in an efficiency gain of 8.7 engineering years saved.
Improved web client performance by refactoring datafetching to follow a render-as-you-fetch pattern using React, Relay and Hack. Resulted in 20% reduction in page load latency.
Implemented integration of in-house marketing software with standardized experimentation platform using Hack and React, which reduced marketing experiment readout time from 7 days to 1 day.
Led implementation of new UI for business messaging client using React in collaboration with product and design stakeholders. Used A/B testing to guide iteration and selection of the best UI variant.
Built tool that enabled marketing configuration updates via user friendly UI instead of requiring manual edits to configuration files using React, Relay and Hack.
2019 — 2022
San Francisco Bay Area
Tech lead for development of new platform feature that enables users to initiate asynchronous visits with their doctor using Node.js, MongoDB, HL7 CDA, and Direct Messaging
Provided >1m users with coronavirus advice based on their specific risk factors by building advice engine service using Node.js and MongoDB
Built microservice that generates health summary notes from patient symptoms using TypeScript, NestJS, and MongoDB and deployed to Kubernetes cluster using Travis CI CI/CD process
Functioned as go-to person for debugging issues that span multiple microservices with mastery of complete code base and tech stack
Scaled up Kubernetes cluster and optimized services to handle discrete spikes of >100x the normal number of users
Refactored several legacy microservices and added unit tests to improve reliability and code quality using Node.js and Jest
Implemented administrative tool for performing CRUD operations on database collections using Node.js, MongoDB, Bootstrap, and jQuery. Used daily for content development by GYANT’s product team
2018 — 2019
San Francisco Bay Area
Implemented web page that displays output of administrative tool test results in a user friendly format using HTML, jQuery, Bootstrap, Node.js, and Express.js
Wrote Python script for identifying unused database documents to enable garbage collection using Python and MongoDB
2016 — 2017
South San Francisco
Responsible for verifying product quality and maintaining laboratory equipment
Education
2012 — 2015
University of California, Davis
BS
2012 — 2015
2018 — Present
Oregon State University
BS
2018 — Present