# Annabel Su

> CS @ CMU

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

Hi, I'm a senior studying Computer Science with a concentration in Machine Learning at Carnegie Mellon. I'm a passionate individual with experience in backend development and collaborating with teams in fast paced environments to build scalable software. I love creating products that make life easier for both regular consumers and other engineers. I am excited to be somewhere where I can have large overall impact, while still staying in touch with all the little things that elevate user experience.

Please feel free to reach out!

## Work Experience
### Software Engineer @ Roblox
Jan 2023 – Present

### Software Engineer Intern @ Roblox
Jan 2022 – Jan 2022
- Design and develop multitouch gesture emulation in Studio to boost user experience and productivity
- Overhaul and modularize existing device emulator architecture in Studio

### Software Engineer Intern @ Snap Inc.
Jan 2022 – Jan 2022
- Develop API usage monitoring tools for the SnapCanvas SDK on iOS
- Spearhead migration of critical auth service to gRPC to align with current tech stack and enhance modularity

### Teaching Assistant for 15-330 Computer Security @ Carnegie Mellon University
Jan 2021 – Jan 2021
- Contributed and designed homework and assessment problems
- Taught and guided students on software security, cryptography, and system/network security

### Software Engineer Intern @ DoorDash
Jan 2021 – Jan 2021
- Created gRPC endpoints and repository and DAO layers for backend services
- Collaborated to extend the data retrieval and nullification system for dasher personal information
- Authored backend service for a privacy feature critical to global privacy compliance

### Research Assistant @ Carnegie Mellon University - Heinz College of Information Systems and Public Policy
Jan 2020 – Jan 2021 | Pittsburgh, Pennsylvania, United States
- Developed Python modules to determine the changes in readability levels of the US Code over time
- Built a tool to recursively parse and analyze XML trees at each sublevel
- Optimized routines to run at 25% of their original speed

### AI Intern and Engineer @ TalkMeUp
Jan 2020 – Jan 2020
- Wrote Python and bash scripts for data preparation and processing of audio files
- Engineered integrated a feature using Kaldi ASR and GMMs to score user pronunciation
- Designed a search algorithm that decreased processing time by 30%


## Education
### Bachelor of Science - BS in Computer Science
Carnegie Mellon University

### Saint Francis High School


## Contact & Social
- LinkedIn: https://linkedin.com/in/annabel-su-896789181

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