* Consistently acted as tech lead leading 2-4 engineers across multiple teams, proposing initiatives, scheduling work, and providing mentorship to junior engineers

* Designed system to ensure consistent use of job seeker location data across recommendation ecosystem, guiding junior engineer through coordinating changes to 10+ deployables across multiple teams

* Identified and led efforts to reduce tech debt, lowering the Search Matching's code footprint by ~25%

* Led high-visibility, high priority effort to raise Search Matching's code coverage to 90% (up from 56%), securing extra headcount to enable delivery in time

* Designed and launched “Feed Alerts”, a large-scale system delivering personalized job recommendations via email initially to 2.5M users, later growing to 55.5M+ users

* Greatly simplified Job Alerts architecture by identifying and refactoring redundant data models

* Proposed and implemented process change from Agile sprints to a project-oriented workflow, taking advantage of the Job Alert team's top-heavy team structure (more Staff/Senior Eng than Juniors)

* Developed Job Spotter, Indeed’s first React Native app, allowing users to photograph local job postings and submit them to be added as listings on Indeed

Created search engine for jobs running on custom Hadoop scheduler, using ElasticSearch to store the index

Created ”I’m Feeling Lucky” search that takes a job name, ID, or instance ID and redirects to the correct page

Created web parts to take data from a database or a SharePoint List and create a chart using Google Charts API

Created web form to accept user data and automatically generate a Risk Management form according to OSHA guidelines