# Rae (Narae) Lee

> Software Engineer at Google

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/rae

Former software engineer at Google and Yext.
Computer Science graduate from Georgetown University.

## Work Experience
### Software Engineer @ Google
Jan 2022 – Jan 2025 | Mountain View, California, United States
Play Content Serving Infrastructure (Java) – Optimized and maintained content serving infrastructure including ranking (7M QPS, 300+ monthly contributors, 1000+ features). Key achievement: for books homepage serving flow, achieved 30% latency reduction and 72% cost savings. Also managed on-call responsibilities, daily releases and production issues.

Play Merchandise Content Publishing Platform (Java, SQL, Soy, Typescript) – Developed and maintained platform used by Play editors to draft, localize, version, preview and publish Play content, as well as to request and manage translations. Key achievement: for translation service, improved average tooling latency by 94% and reduced storage by 75%. This powers 400+ articles every week.

### Software Engineer @ Yext
Jan 2020 – Jan 2022 | New York, NY, United States
Approvals Search Unification (Java, Elasticsearch) – Led project to unify Elasticsearch (NoSQL) indices to speed up page load times, queue update times & eliminate information mismatch.

Entity Search (Java, React) – Overhauled UI, search and filters on Yext’s most used page. Developed feature to display customizable previews for any new type of content, extending beyond built-in types for businesses, people, etc.

Data Suggestions (Java, Elasticsearch) – Halved page load times by migrating to Elasticsearch, leading to increased adoption of Suggestions feature.

### Software Engineering Intern @ Yext
Jan 2019 – Jan 2019 | Tysons Corner, VA
Entity Edit (React) – Migrated legacy JavaScript fields to React for modernized UI and async loading.

Date I18n (Java) – Wrote algorithm for conversion between internationalized display dates and ISO-8601.

### Teaching Assistant @ Georgetown University Computer Science Department
Jan 2017 – Jan 2019 | Washington D.C. Metro Area
Tutored students, hosted office hours/review sessions, graded assignments, coordinated with professor.

Courses: Advanced Machine Learning, Math Methods for CS, Computer Systems, Data Structures

### Undergraduate Researcher @ University of Central Florida
Jan 2018 – Jan 2018 | Orlando, Florida Area
Multiple Object Tracking (MATLAB, MatConvNet)  – Used convolutional neural network (CNN) architecture to track individual cars in UAV videos via AI computer vision libraries. Project adopted and continued by UCF PhD student.

### Research Assistant @ Georgetown University Cognitive Recovery Lab
Jan 2016 – Jan 2018 | Washington D.C. Metro Area
Performed technical tasks for research projects by neuroscience PhD candidates and postdoc researchers.
Gathered and modified stimulus data with Amazon Mechanical Turk, Audacity, Adobe Premiere Pro.
Debugged and tested subject testing programs with Python and YAML.
Logged, statistically analyzed, and provided data visualizations for subject data in Excel and MATLAB

### Summer Research Intern @ Greenwood Genetic Center
Jan 2017 – Jan 2017 | Greenwood, SC
• Developed machine learning classifier that tests for 22q11.2 Deletion Syndrome with a picture of the subject’s face. Focused on minority populations, which are traditionally underserved by AI research
• Automated data collection pipeline with Python/MATLAB. Datasets: NHGRI, IMDb-Wiki, ColorFERET
• Acquired face encodings from images with Python, trained disease classifier in WEKA using encodings
• Achieved sensitivity of 97.8% in Latino pop. and 93.0% in Black pop. using Multilayer Perceptron method
• Separate project: Created interactive web app with R Shiny for biolog microarray analysis
• Handled CSV upload/download (individual & bulk), incorporated data processing algorithms & statistical analysis, used advanced data visualization tools in R. Now used by genetics researchers on site

### Teaching Assistant @ Duke Energy's Summer Institute with Lander University
Jan 2014 – Jan 2017 | Greenwood, SC
•	Taught drag-and-drop computer programming and app development skills to middle and high schoolers
•	Supervised campers, assisted students with programming concepts and projects, and lectured material 
•	Programming languages: Alice, Scratch, App Inventor for Android

### Summer Research Intern @ Korea Advanced Institute of Science and Technology
Jan 2015 – Jan 2015 | Yuseong-gu, Daejeon, Korea
•	1 of 3 SCGGSM students selected for international biophysics research at KAIST in Daejeon, South Korea
•	On a team of 3 (2 high school students and a PhD student mentor), studied relationship between persistence length of single-stranded DNA and solution cation concentration using fluorescent imaging
•	Under a postdoc mentor, wrote a final paper and presented work at SCGSSM Senior Research Colloquium and at South Carolina Junior Academy of Science in 2016


## Education
### Bachelor's degree in Computer Science
Georgetown University
Jan 2016 – Jan 2019

### High School in Mathematics and Computer Science Concentration
South Carolina Governor's School for Science & Mathematics
Jan 2014 – Jan 2016


## Contact & Social
- LinkedIn: https://linkedin.com/in/narae-lee-profile
- GitHub: https://github.com/naraelee-77

---
Source: https://flows.cv/rae
JSON Resume: https://flows.cv/rae/resume.json
Last updated: 2026-03-22