Summer 2026
Software Engineering Intern
CurrentAdobe
- Software Engineering Intern at Adobe, building production software alongside Adobe's engineering team.
Software EngineeringInternship
01About
Where rigor meets craft
I'm a Computer Science and Statistics double major at Brown University, drawn to the space where rigorous engineering meets human creativity. I've shipped full-stack apps, trained ML models, and taught data structures — and off-screen, I make things stitch by stitch. Same instinct, different medium: turn structure into something people want to use.
Education
Brown University
Class of 2028B.S. Computer Science · B.S. Statistics
4.0 GPA
Foundations of AI & Machine LearningSoftware EngineeringData Structures & AlgorithmsStatistical Inference I & IIComputer SystemsObject-Oriented Programming
The Overlake School
Class of 2024High School Diploma
4.0 GPA
AP Scholar with Distinction (2024)U.S. Presidential Scholars Program Candidate (2024)
02Experience
What I've built & taught
Jan 2026 – Present
Undergraduate Teaching Assistant, CSCI 0200
Brown University, Department of Computer Science
- Support instruction in Java and Python, debugging and reviewing student implementations of core data structures (linked lists, hash maps, priority queues, trees) and algorithms (BFS, DFS) with feedback on efficiency, tradeoffs, and design.
- Lead labs, code reviews, and office hours — teaching Big-O analysis, unit testing, matrices, and regex with concise, actionable guidance.
JavaPythonData StructuresTeaching
Dec 2025 – Jan 2026
Software Engineer Intern
Women's Entrepreneurship Day Organization
- Designed and prototyped an automated multi-channel feedback system (email & SMS) collecting responses across programs (AI Education, UN Summit, Ambassador Yearly Impact).
- Applied NLP to synthesize qualitative feedback into structured insights and actionable recommendations for program improvements.
NLPAutomationProduct
Aug 2025 – Dec 2025
Fellowship Research Assistant
Brown University, Cognitive & Psychological Sciences
- Implemented behavioral experiments on trust, advice-taking, and learning from human vs. AI sources; ran literature reviews, web scraping, and large-scale text analysis with R for computational modeling and NLP.
- Built interactive online research tasks and surveys with HTML5, JavaScript, and React for efficient, data-driven collection.
RReactNLPResearch
Sep 2024 – Present
Vice President of Finance & Administration
Brown University Residence Hall Council, Executive Board
Leadership- Manage financial operations, build budgets, and present annual reports in a fast-paced team environment.
- Oversee event logistics and coordinate campus activities through clear written and verbal communication.
03Selected Work
Projects, end to end
Founder · Full-Stack Web App
Feb 2026 – Aug 2026
Munchy Munchy
A full-stack food-tour optimization app that turns a city, a budget, and a time limit into a walkable itinerary of restaurants and landmarks. Pitched, funded, designed, and shipped.
- Built the backend in JavaScript/TypeScript and designed the frontend in Figma Make, deploying via Vercel and AWS.
- Integrated Google APIs for city-search autocomplete, optimized route generation and ETA estimation under time and budget constraints.
TypeScriptVercelAWSGoogle APIsFull-Stack
CSCI 0410 · Foundations of AI/ML
Feb 2026 – Present
Risk-Constrained Portfolio Optimization
A mean–variance portfolio optimizer that maximizes expected return subject to risk constraints — the constrained-optimization toolkit of quantitative finance.
- Built and solved convex optimization models in Python (CVXPY) across varying risk tolerances.
- Analyzed allocation shifts and diversification as constraints tightened, computing returns and covariance from historical stock data.
PythonCVXPYConvex OptimizationQuant
CSCI 0320 · Software Engineering (Group Final)
Sep – Dec 2025
Pet Food Toxicity Detector
A full-stack mobile app that uses image recognition to assess whether plants and foods are toxic to pets — ML in service of a very real problem.
- Built in TypeScript with Expo Go, using K-Nearest Neighbors and open-source plant-identification models for image-based toxicity assessment.
- Led backend for toxicity analysis: data integration, ambiguity-handling algorithms, GPT-generated reports, and extensive testing.
TypeScriptExpo GoKNNGPTML
CSCI 0150 · Independent Final Project
Sep – Dec 2024
Scrabble
A from-scratch recreation of Scrabble in Java — object-oriented design, real game logic, and a hand-built GUI.
- Modeled gameplay with multi-class inheritance and OOP principles for clean, streamlined play.
- Used HashSets, HashMaps, ArrayLists, and 2D arrays for move validation, scoring, and sorting; designed a JavaFX GUI from scratch.
JavaJavaFXOOPAlgorithms
04Off the Clock
Made by hand, stitch by stitch
Away from the keyboard, I crochet. It's the same thing I love about code — structure, pattern, and the quiet satisfaction of building something one careful step at a time — just rendered in yarn instead of syntax.
Add a photo of a finished piece.
Amigurumi, wearables, or a work in progress.
A short video of the process works here too.
Swap in your favorites.
A detail shot of stitch texture.
05Toolkit
Skills & languages
01Engineering
JavaPythonCC++TypeScriptJavaScriptReactCSSSQLR
02Data & Tools
APIsData PipelinesExpo GoFigmaExcelA/B TestingData VisualizationStatistical Analysis
03Languages
English — FluentKorean — FluentMandarin — Advanced
06Get in touch