About Me
I’m a undergraduate junior at the University of Washington, majoring in Computer Science with a minor in Mathematics. I have a strong interest in software engineering, machine learning, and all things computing. Outside of academics, I enjoy playing a variety of sports (especially squash and basketball), collecting coins, and watching shows in my downtime.
Work History
Research Assistant – University of Washington
June 2023 - Present
- Working with Professor Michael Ernst to enhance Randoop, a tool for automated unit test generation.
- Analyzing the efficacy of and implementing proposed guided random testing techniques.
- Using Java reflection to generate tests for inaccessible classes, methods, and fields.
Software Engineering Intern – VISA
June 2024 – August 2024
- Developed an advanced live analytics API utilizing custom-trained neural networks, enhancing partner capabilities by forecasting sales volumes and predicting merchant churn
- Trained, tested, fine-tuned, and deployed these models on a SQL Server using stored procedures to ensure efficient and scalable execution.
Software Engineering Intern – CoreCLM
June 2021 – August 2021
- Used BeautifulSoup to parse and extract prescriptions from government clauses
- Developed CoreCLM’s UI using the Django framework and responsive HTML
- Helped develop a BERT-based NLP model to understand English legal semantics.
Personal Projects
LatinAmicus
Developed a website to assist students of all skill levels in learning the Latin language. Currently has over 1.2k users. We built the front-end using Flask, Jinja, and Bootstrap. For the backend, we extracted Latin words from Wiktionary using BeautifulSoup and schematized them into MongoDB for efficient access.
Soccer Twitter Notification Bot
Developed a Twitter bot leveraging AWS Lambda and S3 services to monitor and tweet the follow/unfollow activities of a list of football players. Interfaced with Twitter’s RESTful API and employed a differential data analysis algorithm to compare real-time data with historical data stored in a JSON file.
Browser Habit Classifier
Developed a Chrome extension that uses TF-IDF text classification to categorize past browsing history and make users aware of their habits.