I'm

Sean Sun

CS + ML @ Carnegie Mellon University
Intern @ Microsoft (2024)
Intern @ Tesla (2023)

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About

Sean Sun

I'm a CS major focusing on Machine Learning at Carnegie Mellon University, graduating in May 2025.

I've implemented PyTorch and Llama3.2 from scratch; performed LLM Agents research; trained LSTM/Transformer models for IMU Odometry; published SLAM work at ICCV 2023 and CVPR 2024; and interned at Microsoft and Tesla.
Currently seeking future opportunities.

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Experience

Skills & Background

Education

  • Carnegie Mellon University

    B.S. in Computer Science, ML Concentration
    2021 - 2025
    • GPA: 4.00 / 4.00
    • Selected Coursework:
      • 15319 Cloud Computing
      • 15410 Operating Systems
      • 10714 Deep Learning Systems
      • 15442 Machine Learning Systems
      • 11777 Multimodal Machine Learning
      • 10423 Generative AI
      • 10403 Deep Reinforcement Learning
      • 10417 Intermediate Deep Learning
      • 15418 Parallel Computer Architecture

  • 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
    2021 - 2024

  • 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

Experience

  • Microsoft

    Software Engineer Intern
    2024
    • Contributed to Microsoft Intune (100M+ Daily Active Users), built a distributed cache system, saved 30% service operational cost
    • Led the migration to Microsoft Graph API with minimal disruptions

  • Tesla

    Software Engineer Intern
    2023
    • Created multiprocessing framework to track 10k+ packets/sec in vehicle diagnostics
    • Developed Python programs for big-data analysis and a SvelteKit diagnostic website

  • Carnegie Mellon University AirLab

    Software Engineer Intern, Project Lead
    2022 - 2024
    • Trained LSTM/Transformer models for IMU Odometry
    • Optimized SuperOdometry SLAM in tunnel environments
    • Led large-scale processing of SLAM Ddatasets. Published at ICCV 2023, CVPR 2024

  • 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



Technologies

PyTorch
React
Git
Linux
CMake
Docker
Kubernetes
MongoDB
Unity
Electron
Kafka