MS AI @ Northeastern
As a recent Cornell University graduate with a B.S. in Computer Science, I have a strong foundation in object-oriented, functional, and data-driven programming, as well as data structures and algorithms.
2024 — 2024
Designed a Next.js online scheduler for Vredevoogd to increase HVAC appointment bookings
Developed APIs for security token authorization, customer verification, appointment availability, and
scheduling
2023 — 2023
Game Design Initiative at Cornell • Most Polished Game • 2nd Place in Audience Voting
Led team sprints for Meowndering, a cat sandbox-puzzles mobile game, using C++ and cugl
2022 — 2022
Class: CS 3110 • Functional Programming
Facilitated review sessions guiding sophomores and juniors, through self-made Google slides and handouts
Santa Monica, California, United States
Team: Google Ads • Performance Planner (PerPl)
Designed and implemented a new filter based on inferred ad campaign groupings
Participated in team sprints for Cephalonaut, a zero-gravity puzzles physics game, using Java and libGDX
Northeastern University
Cornell University
Boston Latin School