Work Experience

My professional journey so far

🔬

Strategic Courses Researcher

North Seattle College

Jul 2025 – Present 📍 Seattle, WA
  • Conducted quantitative and qualitative data analysis to evaluate student success in courses.
  • Built an offline audio transcription pipeline using Python and OpenAI Whisper to transcribe sensitive audio data.
  • Presented findings (lack of canvas/technology support, group work, etc) to faculty stakeholders.
Python OpenAI Whisper Data Analysis Qualitative Coding
🌐

Open Source Contributor

CodeDay Labs

Mar 2026 – Apr 2026 📍 Remote
  • Contributed a server-side syntax highlighting plugin to Foundry, an open-source Go CMS (186+ GitHub stars), adding colorized code rendering for 9 languages with zero runtime JS dependencies.
  • Built the full plugin end-to-end in Go including rendering engine, asset injection, plugin registration, and unit tests.
Go Open Source Plugin Development
💻

Software Engineering Intern

Funvite (Startup)

Jul 2025 – Jan 2026 📍 Remote
  • Contributed to a React Native mobile app with 3,000+ downloads using Expo, Firebase, and JavaScript.
  • Led UI rebranding: renamed components, applied new brand colors, replaced icons, splash screens, and logos.
  • Implemented time-sensitive feature toggles that automatically adjust app functionality based on event lifecycles.
React Native Firebase Expo JavaScript
🎓

Computer Science Tutor

Code Ninjas

Nov 2022 – Oct 2025 📍 Seattle, WA
  • Taught programming to 7–15 students per class (ages 7–14) in JavaScript and MakeCode (block coding).
  • Mentored 100+ students total, guiding them through algorithms, debugging, and game-building projects.
JavaScript MakeCode Teaching
📊

Undergraduate Researcher – Environmental Data Analysis

North Seattle College

Sep 2024 – Dec 2024 📍 Seattle, WA
  • Analyzed 1,000+ PM2.5 air quality measurements across Seattle colleges to determine if historically redlined colleges were exposed to higher PM2.5 levels.
  • Applied Python (NumPy, Pandas, Matplotlib, Seaborn) for data cleaning, statistical analysis, and visualization.
Python NumPy Pandas Matplotlib Data Analysis