Studying computer science at Carnegie Mellon University. My cumulative QPA is 3.56 with expected graduation in May 2022. Relevant coursework:
Implemented Node.js + MongoDB + React service to make local donations more accessible and secure.
Developing Node.js + MongoDB web service for teachers to score class activities. Adopted by 15-122 at CMU.
Created Node.js + Redis backend to limit and predict water usage with machine learning algorithm.
2nd place for Riot Games sponsor prize
Used SciKit-Learn library and Python web scraper to collect 12 million case records and extract patterns. Created decision tree and clustering algorithm to predict future case outcomes with 81.4% test accuracy.
Built multi-purpose Node.js bot for managing and entertaining over 10,000 online communities.
Developing organization website and Node.js + MongoDB backend for umbrella dispenser network. Coordinating with mechanical and electrical engineering teams.
Writing and editing articles, designing weekly paper layout.
Gave React talk at Web Dev Weekend 2018. Overhauled Python API to make printing accessible on-campus.