I'm

Sean Sun

Computer Science at Carnegie Mellon University

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About

Sean Sun

A Computer Science major undergrad at Carnegie Mellon University

My primary interest is in machine learning and LLMs. I'm currently seeking full-time positions.

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Experience

Skills & Background

Education

  • Carnegie Mellon University

    Bachelor of Computer Science
    2021 - 2025
    • Selected Coursework:
      • Introduction to Computer Systems
      • Principles of Imperative Computation
      • Functional Programming
      • Concepts of Mathematics
      • Matrices and Linear Transformations
      • IDeATe: Introduction to the Unity Game Engine

  • Sonoma Academy

    High School Degree
    2018 - 2021
    • GPA: 4.59 / 4.00   |   TOEFL: 115 / 120
    • Advanced Placement: Computer Science A 5; Calculus BC 5; Physics C-Mechanics 5; Physics C-Electricity & Magnetism 5; Chemistry 5; Statistics 5
    • Selected Coursework: AS Computer Programming; Multivariable Calculus; Linear Algebra

Awards

  • Carnegie Mellon University School of Computer Science: Dean's List, High Honors

    University level
    2021

  • USA Computing Olympiad: 2020 Jan Gold Contest

    International level
    2020

  • FRC World Championship: Gracious Professionalism Award

    International level
    2019

  • FRC Sacramento Regional: Dean's List Finalist Award

    Regional level
    2020

  • FRC Monterey Bay Regional Winners

    Regional level
    2019

  • FRC SF Regional: Engineering Inspiration Award

    Regional level
    2019

  • FRC San Francisco Regional: Rookie Inspiration Award

    Regional level
    2018

  • FRC Silicon Valley Regional: Rookie All Star Award

    Regional level
    2018

Programming Languages

Java
Python
C#
JavaScript
C
C++
Julia
Visual Basic
HTML
CSS
LaTeX
Standard ML
Dart



Technologies

Linux
GitHub
Unity
ROS
Docker
Heroku
Flutter
Electron
MongoDB

Experience

  • Carnegie Mellon University AirLab

    Software Engineering Intern
    2022
    • As intern for performing robot camera-IMU sensor calibration and infrared camera-IMU synchronization optimizations
    • Tasked to collect multi-sensor data for calibration and testing

  • Carnegie Autonomous Racing

    Programmer
    2022
    • Using MATLAB, collaborated with the Controls Team to design and tune model-based controllers driving the vehicle
    • Worked with the Vehicle Team on electrical integration and motor controller system identification

  • First Robotics Competition

    Programming & Electrical Team Captain
    2018 - 2021
    • Led team to build three robot electrical systems and robot codes (Two qualified for the FRC Houston World Championship)
    • Developed four different autonomous driving algorithms using PID, motion profiling, pure pursuit, and a holonomic controller
    • Taught programming and electronics to new members and numerous other FRC teams
    • Developed Unity autonomous robot simulator environment to practice programming (seansun.org/robotsim)
    • Presented control theory lecture to San Francisco MENSA

  • Programming Video Tutorial Series

    0 to Autonomous in FRC Java
    2019 - 2021
    • 6-episodes, 750 subscribers, and 40k+ views
    • Explained robot control theory, implementation, and debugging using diagrams, animations, code, and robot demos

  • MIT Beaver Works Summer Institute

    Autonomous Racecar Grand Prix
    2021
    • Programmed race cars to autonomously navigate through obstacle courses using computer vision, depth-camera, LiDAR, IMU, state machines, and sensor fusion
    • Ranked 1st place in both the individual and group final competitions (seansun.org/mitracecar)

  • Pioneer Academics

    Research Program
    2020
    • Paper: A Novel Method Using Node2vec, KPCA, and Random Forest to Predict Genes Related to Parkinson’s Disease
    • Paper is one of the 12% nominated for The Pioneer Research Journal
    • Mentored research with University of California Berkeley Professor
    • Overall grade: A+
    • Professor rated, “One of the best I have encountered, top 5%”, Overall grade: A+

  • Remote Video Learning Platform App

    Lead Programmer
    2021
    • Built frontend and backend web server using JavaScript, HTML, CSS, NodeJS, MongoDB, Google APIs, and deployed on Heroku (seansun.org/sparklearning)

  • School Lunch Menu App

    Founder, Lead Programmer
    2018 - 2021
    • Led team of students to develop frontend and backend web server that delivers daily lunch menu to the entire school community
    • Used JavaScript, CSS, HTML, NodeJS, MongoDB, web tokens, web scrapers, and an email service

  • Beijing Genomics Institute

    Software Engineering Intern
    2019
    • Participated in bioinformatics research. Constructed machine learning models that predict genetic mutations of diseases using the R programming language