Emma Vickery

Bachelor of Science in Electrical Engineering and Computer Science

August 2017 - May 2020

University of California, Berkeley | Berkeley, CA

Coursework: CS 188: Artificial Intelligence, CS 170: Efficient Algorithms and Intractable Problems, CS 168: Internet: Architecture and Protocols, CS 186: Database Systems, STAT C100: Principles of Data Science, IEOR 165: Engineering Statistics, Quality Control and Forecasting

Minor in Industrial Engineering and Operations Research

August 2017 - May 2020

University of California, Berkeley | Berkeley, CA

Deloitte StartUp UC Berkeley Case Competition: 3rd place, Sutardja Center for Entrepreneurship and Technology (SCET) Certificate

High School Degree

August 2013 - June 2017

Glenbrook North High School | Northbrook, IL

Berkeley Early Admit, National AP Scholar (2017), Illinois State Scholar (2017), Chicago Tribune Athlete of the Year (2016)

Backend Software Engineer

December 2022 - Present

Spotify | Denver, CO

• Orchestrated the design, development, and successful integration of targeting functionality across multiple AdServers
• Spearheaded the implementation of a new testing infrastructure for the packaging of a Lucene index in a canary environment
• Fostered seamless communication, mentorship and knowledge sharing among cross-functional teams within the Adserving domain

Fullstack Software Engineer

August 2020 - December 2022

Carta | San Francisco, CA

• Developed, as the project lead, a framework for a new permission-based authorization system that uses a graph-based approach that is set to speed up page load by over 500% and reduce the over and under access problem for users
• Constructed a dashboard alongside a team of 5 engineers within sprints from an agile environment to maintain data integrity for captables by exposing the UI to customers and Carta staff/support

Software Development Engineer Intern

May 2019 - August 2019

Amazon | Seattle, WA

• Worked under the Commerce Platform on AWS to create an automated solution to a previously manual workflow regarding the creation of product lines, used for revenue mapping purposes, regarding numerous AWS services
• Reduced time for creation of product lines from 2 months to 2 days through the new automation, cutting down teams involved by half