Developer

As a developer, I pride myself on being a quick learner, a collaborative co-worker, and someone who enjoys making things work.

I like having ownership over my projects and seeing a product go from the design stage all the way to production. I always have fun learning new technologies and seeing different aspects of programming and development. At Brown, I studied computational linguistics, machine learning, real-time and embedded systems, and software engineering.

I have previously worked for Webucator, Chapter One, and the Brown School of Public Health.

For a detailed list of the projects I have worked on over the years, see my project history.

Project History

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Django and Vue based online learning platform - contributed 30k+ LOC. (Webucator)

Sep '20
- Jun '21
Used Python frameworks Flask and Quart along with GCP, the Notion API, and the Affinity API to build an automated note-syncing system to improve data tracking for a venture capital fund. (Chapter One)

Jun '22
- Aug '22
Used SvelteKit, Auth.js, TypeScript, TailwindCSS and Vercel Postgres to create a personal website with a secure backend for managing my project history.

Feb '24
Used the OpenAI API and python-pptx to create an AI-powered generation tool to quickly create PowerPoint presentations. (Webucator)

Jan '24
Used Rust, Anchor, and Vue/TypeScript to build a Solana decentralized application for storing links. (Chapter One)

Jul '22
Used C++ (Arduino) to build a heartbeat monitor, connecting two Arduino boards over Wifi and interpreting an analog signal from a pulse monitor.

Oct '22
- Dec '22
With Pytorch and Hugging Face, built a sentiment classifier to identify positive, negative, and neutral tweets.

Oct '23
React website to analyze Brown course data scraped with BeautifulSoup and Selenium.

Jan '22
Scala prototype of Google's PageRank algorithm.

May '20
Used Python, Pandas, and Tableau to clean, connect, and analyze pharmaceutical data. (Brown School of Public Health)

Jun '23
- Aug '23