# Sarah Gu

> SWE @ Citadel Securities

Location: New York, New York, United States
Profile: https://flows.cv/sarahgu

I'm a recent grad from Columbia University, earning a Computer Science degree from the School of Engineering. 

Feel free to check out my GitHub at github.com/sarah-gu, contact me at sarah.gu@columbia.edu, or message me on LinkedIn!

## Work Experience
### Software Engineer @ Citadel Securities
Jan 2024 – Present | New York, United States
Credit Tech

### Software Engineering Intern @ Citadel Securities
Jan 2023 – Jan 2024
Options Tech Intern, Summer 2023

### Software Engineer @ Phia
Jan 2023 – Jan 2024 | New York, United States

### Growth Engineer @ Vivid
Jan 2023 – Jan 2023 | New York, New York, United States
Owned the company’s onboarding workflow, building an AI-powered internal webpage to automatically link React components to their corresponding Figma designs.
Designed and developed the entire user experience, prototyping in Figma and implementing with React, Typescript, and Tailwind CSS.
Engaged in client meetings, investor updates, and customer validation.

### Software Engineer @ Microsoft
Jan 2022 – Jan 2022 | Redmond, Washington, United States
Improved Azure App Service monitoring system by 30x, actively tracking the health of 2500 servers on the cloud. Developed end-to-end monitoring pipeline in C#, leveraging Azure Front Door CDN, Static Web App, and Kusto Database. Boosted the efficacy of error tracking for over 20 individuals on the team.

### Undergraduate Research Assistant @ Columbia University in the City of New York
Jan 2020 – Jan 2022
Worked in the Computer Vision research lab to analyze the effects of COVID-19 on societal behavior.
Advised by Professor Carl Vondrick.

### Neo Scholar @ Neo
Jan 2021 – Jan 2022

### Engineering Intern @ Facebook
Jan 2021 – Jan 2021 | New York, United States
Independently developed a note-sharing & transcribing iOS app in XCode & Objective-C called myAIScribe, leveraging the Core Machine Learning API to convert handwriting in image to text. Programmed functionalities to sort notes by class, search by caption, and find friends.

### Computer Vision Intern @ MITRE
Jan 2020 – Jan 2020 | Tysons Corner, Virginia, United States
Summer 2020: Trained machine learning models on custom data to find objects in infrared images, obtaining a 92.9% mAP score. Specifically evaluated YOLOv4 and the Faster RCNN model trained on Detectron2 and Tensorflow Object Detection API.

### Cyber Security Intern @ MITRE
Jan 2019 – Jan 2020 | Tysons Corner, Virginia, United States
Summer 2019: Discovered the vulnerability of Google AI’s BERT Natural Language Processing model to an adversarial data-leaking attack, after running 15+ deep learning tests. Ran white-box simulations and found up to 70% of data was exposed.

### Machine Learning Intern @ MITRE
Jan 2018 – Jan 2019 | Tysons Corner, Virginia, United States
Summer 2018: Engineered a machine learning pipeline to decipher thought, specifically designing neural network architectures to decode brainwaves from denoised EEG data to text.


## Education
### Bachelor of Science - BS in Computer Science
Columbia University

### Advanced Studies Diploma
Thomas Jefferson High School for Science and Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/sarahwgu

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Source: https://flows.cv/sarahgu
JSON Resume: https://flows.cv/sarahgu/resume.json
Last updated: 2026-03-29