Taught students Python data structures and algorithms, SQL tables and aggregation, and RegEx for CS 61A: Structure and Interpretation of Computer Programs, the largest computer science course at UC Berkeley

Resolved 100+ student extensions via a Python program integrated with Google Sheets, Slack, and Gradescope

Experimentation Platform

Core Bluetooth

Developed a full stack project enabling no-code A/B experimentation preventing +100 commits per month and a significant increase in metric accessibility

Designed and implemented a new user flow using React TypeScript, wrote cron scripts to consistently sync platform data from MySQL and reworked 7 Apache Airflow workflows which are run multiple times daily

Built a conversational artificial intelligence model into the experimentation platform to aid in experiment creation

Developed Python multimodal transformer models to leverage patient data (> 10 million points) to predict placed orders

Created a surrogate model based on k-means clustering to determine diagnosis similarities from patient covariates

Wrote shell scripts for the UCSF Wynton HPC cluster to parse data, run models, generate 1,000+ visualizations