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about me !!

Sabrina Do
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✨
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Hi, I'm Sabrina! <3

CS @ MIT • Software Engineer

I'm a passionate computer science student from California, currently pursuing my degree at MIT. I love building software that solves real-world problems and makes a meaningful difference in people's lives.

When I'm not coding, you can find me sailing on the Charles river, developing film, or trying new restaurants!

🎓
4.94
GPA at MIT
💻
6+
Programming Languages
🏆
3
Hackathon Wins

What I Love 💖

🤖
Machine Learning
🌐
Web Development
🔬
Research

Fun Facts About Me 🎉

✈️ I've traveled to over 30 countries around the world
🧵 I collect thimbles from every place I visit
🦉 I have a 900+ day streak on Duolingo
🏃‍♀️ I'm currently training for a half marathon
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desktop > my-projects
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Golden Book
Social media platform for elderly individuals
Vue.JS • Express • MongoDB
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Triangle Completion
VR spatial navigation research project
Unity • C# • VR
💕
Leftover Love
Food waste reduction platform
Vue.JS • Express • MongoDB
🏆 Winner
🌱
Eco-Calc
Hackathon winner: Sustainable living calculator
HTML5 • CSS3 • JavaScript
⚙️
Decaf Compiler
Decaf programming language compiler
Typescript • Compiler Design
🏆 Winner
🌐
Schill: The Sound of High School
Study website designed for high school students
HTML • CSS • JavaScript
✨
3D Portfolio
Interactive 3D personal website
Three.js • WebGL • JavaScript
🚀
More Projects
View all projects on GitHub
Various Technologies
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💼

Professional Experience

Building impactful software at leading tech companies

6 Internships
9M+ Users Impacted
3 Publications

Scale AI

Technical Advisor – GenAI

AI/ML
Nov 2024 – Aug 2025
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50+ PRs audited
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Olympiad level problems
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4 languages

Guided the training of state-of-the-art LLMs by solving Olympiad-level competitive programming and advanced math problems, engineering prompts, and auditing 50+ PRs—improving reasoning, accuracy, and safety across multimodal and complex problem-solving tasks using C++, Java, Python, and TypeScript

C++ Java Python TypeScript LLM

Instagram

Software Engineer Intern

Meta
May 2025 – Aug 2025
🚀
3 protections shipped
👥
9M+ users impacted

Engineered and shipped 3 protections to combat email compromise and hacked accounts, impacting over 9 million users using Python, PHP, and SQL

Developed an LLM-powered bot used across five teams and reduces on-call triage response rate

Python PHP SQL LLM

InKeep

Software Engineer Intern

YC W23
Jan 2025 – Feb 2025
🎯
70%+ search accuracy
🔍
RAG system built

Implemented a search system with >70% accuracy using Retrieval-Augmented Generation (RAG)

Designed and optimized a vector database schema to store and query embeddings, integrating metadata processing and intent recognition for improved search accuracy

RAG Vector DB ML Search

Meta

Software Engineer Intern

Messenger
May 2024 – Aug 2024
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20 weeks saved/year
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91% ML accuracy
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100K assets automated

Saved 20 engineering weeks per year by developing a machine learning algorithm with 91% accuracy to automate the privacy audit of messaging data on the Messenger Privacy Team using Python, PHP, and SQL

Eliminated daily manual review of 100K assets by creating an API that scans over the codebase daily

Developed end-to-end data/ML pipelines and interactive interfaces to improve data processing efficiency

Led/proposed project independently, utilized test-driven development, and wrote design documentation

Python PHP SQL ML API

Nasdaq

Software Engineer Intern

Financial
Jan 2024 – Feb 2024
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100+ users
⚡
70% efficiency gain
🔧
10+ APIs built

Built user-friendly full-stack web application from scratch with 100+ users using ReactJS, Flask, Postgres

Engineered 10+ APIs and implemented a robust database schema to efficiently manage and query data

Optimized the identification of regulatory requirements by 70% by building a user interface that allows companies to input financial data and calculate their regulatory obligations

ReactJS Flask Postgres API Full-Stack

NASA

Software Engineer Intern

Aerospace
May 2023 – Jul 2023
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80% time reduction
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99% accuracy
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11% performance boost

Reduced scientific review time by 80% by automating daily aerospace data processing using TensorFlow

Facilitated efficient analysis of organic samples from Mars using Python, NumPy, Pandas, and Matplotlib

Enhanced model performance by 11%, achieving 99% accuracy in chemical identity prediction

TensorFlow Python NumPy Pandas Matplotlib

Fellowships & Programs

Leadership & Service

Research Experience

Let's work together!

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🎓

Education

Massachusetts Institute of Technology

Bachelor of Science in Computer Science and Engineering (6-3)

4.94 GPA
2022 - 2026

Key Achievements

Course 6-3: Computer Science and Engineering
President of MIT Women in EECS
Executive Board Member of HackMIT

Relevant Coursework

6.006/6.1210 - Introduction to Algorithms 6.031/6.1020 - Elements of Software Construction 6.036/6.390 - Introduction to Machine Learning 6.046/6.1220 - Design and Analysis of Algorithms 6.1040 - Software Design 18.06 - Linear Algebra

Sage Hill School

High School Diploma

Valedictorian
2018 - 2022

Academic Honors

Valedictorian (Class of 2022)
4.81 Weighted GPA
National Merit Scholar
AP Scholar with Distinction

Advanced Coursework

AP Computer Science A AP Calculus BC AP Physics C AP Chemistry AP English Literature AP Spanish Language

Technical Skills & Certifications

Programming Languages

Python JavaScript TypeScript Java C++ C# PHP SQL

Frameworks & Tools

React Vue.js Node.js Express Django Flask Unity TensorFlow

Databases & Cloud

MongoDB PostgreSQL MySQL Docker
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SABRINA DO

CS Student at MIT

sabpdo@mit.edu

www.sabpdo.github.io