◆ Worked as a full-stack engineer on Twitter’s experimentation

platform with a cross-functional team of data engineers, data scientists, full-stack engineers, and a product manager

◆ Led and worked on a 2 quarter-long 3 person project to implement an experiment taxonomy & create a new, customer journey aligned, experiment wizard interface in React, eliminating 20+ experiment tracking spreadsheets and centralizing experiment institutional knowledge

◆ Designed and implemented GraphQL queries/mutations and resolvers for experiment taxonomy metadata R/W and an extensible mySQL data model to support 10+ quarterly changes on average to required metadata collection

◆ Enabled team knowledge sharing through artifacts including 4 technical design documents, a new team bug bash process doc, and a migration planning document with LoE estimates

◆ Supported a migration from a Scala REST API to a Node.js GraphQL API, resulting in a 99% decrease in build time and a 150% dev velocity increase

◆ Mentored and supported an intern over a 12 week period with a project to sort over 15,000 experiments by impact to the most important company metrics, using BigQuery as a new backend datasource and Elasticsearch for search

◆ Served on-call debugging prod issues with ETL pipelines and the experiment dashboard, answering hundreds of customer questions about A/B testing, and leading 2 successful postmortems

◆ Incorporated a new workflow into existing React components, wrote Scala REST APIs to allow users to record thousands of ship decisions and snapshot experiment results, and introduced onion architecture

◆ Contributed to a Twitter component library used by 30+ internal/external web apps by providing typing for several untyped components

◆ Led tech debt reduction regularly, refactoring code, migrating untyped files to Typescript, and using modern React patterns like hooks

◆ Worked on Twitter’s experimentation platform team

◆ Developed a prototype Scalding job to improve metrics availability for users by enabling thousands of ratio metric possibilities across different data sources

◆ Collaborated with a team of 8 engineers to improve SLAs and pipeline functionality

◆ Performed full-stack development for the Data Discovery and Governance team

◆ Created a React web app with a Node.js backend to allow engineers to easily view responses from Data Discovery and Governance APIs

◆ Optimized user interaction with the internal data discovery service through UI design