# Elizabeth Yang > SWE @ LinkedIn Location: San Francisco, California, United States Profile: https://flows.cv/elizabethyang Hello! I am a Software Engineer at LinkedIn working in the Online Jobs Growth team based out of the South Bay HQ. I graduated from the University of Michigan in 2024 with a Bachelor of Science, completing a double major in Computer Science and Cognitive Science. Outside of work, a few of my hobbies are hiking, Pilates, photography, nail art, word puzzles, and reading. ## Work Experience ### Software Engineer @ GSBOA Jan 2025 – Present ### Software Engineer @ LinkedIn Jan 2024 – Present | Sunnyvale, CA • OJ Growth team • Implemented features targeted at creating new entry points to enter the Online Jobs posting flow, driving >$2M in revenue • Identified problem points within the team’s technical infrastructure • Authored and reviewed design documents for team projects • Investigated and handled critical issues involving products owned by Online Jobs as part of the on-call rotation ### Grader @ University of Michigan College of Engineering Jan 2024 – Jan 2024 | Ann Arbor, Michigan, United States • Graded student assignments for EECS 484 - Database Management Systems ### Desk Attendant @ University of Michigan Law School Jan 2021 – Jan 2024 | Ann Arbor, Michigan, United States • Answered patron questions, guided them towards desired resources in the Law Library • Monitored student IDs during affiliation checks to enforce COVID-19 library restrictions and policies • Reorganized and maintained Law Library facilities to sustain optimal standards ### Software Engineer Intern @ LinkedIn Jan 2023 – Jan 2023 | Sunnyvale, California, United States • Implemented APIs for Recruiter multiproduct to prevent license sharing across multiple sessions, leading to an estimated $7M increase in revenue from Recruiter license provisioning • Wrote business logic to escalate and de-escalate Recruiter seats to appropriate tiers based on flagged behavior • Created enforcement UX to display for Recruiter accounts whose actions qualify as potentially harmful, including two standalone web pages and a global warning banner ### Research And Development Intern @ The Applied Research Laboratory at Penn State University Jan 2022 – Jan 2022 | Reston, Virginia, United States • Participated in the Open D.O.O.R. Internship Program • Built and designed storage solution for ARL-developed machine learning tool to store user groups scores, machine learning output, and model weights • Enabled data science techniques and analysis on user trends • Wrote whitepaper covering system design, storage choices, limitations, and future improvements ## Education ### Bachelor of Science - BS in Computer Science University of Michigan ### Bachelor of Science - BS in Cognitive Science University of Michigan ### Novi High School ## Contact & Social - LinkedIn: https://linkedin.com/in/elizabeth-yang-02 --- Source: https://flows.cv/elizabethyang JSON Resume: https://flows.cv/elizabethyang/resume.json Last updated: 2026-04-11