Education

Cornell University

Exp: Winter 2026

  • B.S. in Statistics (ML concentration)
  • Minor in Computer Science
  • GPA: 3.9

Cornell Tech

Exp: Summer 2025

  • Machine Learning Certificate
  • Grade: 99%

Experience

Corporal-Reservist

@ U.S. Marine Corps

Jan 2022 - Present

  • Coordinate training and readiness as a NCO while concurrently pursuing academic full time
  • Developed strong leadership and time management skills transferable to project-driven tech environments

iOS Course Instructor (CS 1998)

@ Cornell CIS

Fall 2025

  • Former TA and course instructor for iOS Development course (CS 1998-601) with combined 100+ students
  • Revamped course structure for make content more beginner friendly

iOS Developer

@ Cornell AppDev

Feb 2025 - Present

  • Architecturing and building new app "Hustle" in Swift and TCA Architecture
  • Implemented authentication using Firebase Auth and Google signin
  • Collobrate with backend devs and designers on "Score", an ESPN like app for Cornell Sports
  • Designed and implemented UI components such as refresh control, loading cards, and filtering using SwiftUI.

Research Assistant

@ Cornell ARL

Sep 2024 - Sep 2025

  • Developed mirror control algorithm to maintain robot-user and user-user visibility
  • Integrated alogorithm to robot prototype using Arduino and ROS, debugged all integration failures
  • Designed user studies and finite-state system to coordinate perception and actuation logic for autonomous robot behavior

Projects

ReadLay

/ iOS App

Fall 2024

  • Front-end developer for full stack application for trading used books
  • Most creative award in hackathon.

Rock-Paper-Scissor Predictor

/ Image winner prediction

Spring 2025

  • Designed a Siamese Neural Network with ResNet, to classify winner in a rock paper scissor game, with less than 10% error rate.

Study Spot

/ Web App

Summer 2025

  • Built a productivity hub combining Pomodoro timer, to-do list, and adaptive music player

GPT Inside-out

/ NLP Research Project

Fall 2023

  • Learned the Transformer Architecture during this project
  • Reconstructed and trained a simplified Transformer-based text generation model to study context window effects and sequence coherence.

Skills

  • Python, PyTorch, Git, Version Control (branching, rebasing, etc.), Swift, iOS App Development, Java, C++, R

Coursework

  • Machine Learning, Object Oriented Programming, Data Structure & Algorithms, Computer Systems & Architecture
  • Differential Equations, Linear Algebra, Linear Models, Probabilty Theory