About

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me
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Gunhoo Park

About

Email: gunhoo2016 [at] gmail.com

I am delving into the realm of Computer Science with a focus on Web Development, Infra(CI/CD), AI and Machine Learning. I am currently enrolled in the M.S. in Computer Science program at the University of Southern California(USC). I am interested in pursuing a career as a Software Engineer or Web Developer.

Resume GitHub LinkedIn Scholar

Education

  • University of Southern California, Los Angeles, California, Jan 2024 - Dec 2025

    •          M.S. in Computer Science

  • Samsung SW Academy For Youth, Gwangju, South Korea, Jan 2023 - Dec 2023

    •          Trainee

  • Chung-Ang Universtiy, Seoul, South Korea, Mar 2015 - Feb 2020

    •          B.E. in Computer Science and Software, Major GPA: 3.8/4.0, Magna Cum Laude

    Skills

    Languages
    Backend
    Databases
    Frontend
    Others

    Publications

  • Gunhoo Park, Jeongyeup Paek, "Audio-based Drone Ranging and Localization using Deep Learning (poster)”, Proceedings of the 17th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys’19), June 2019 [DOI] [PDF] [POSTER]

    • Experience

  • Republic of Korea Army, South Korea, Mar 2020 - Jun 2022

          Lieutenant(Signal Officer)

    • Managed tactical communications such as radio, cable, and satellite and led around 30 combatants
  • Networked Systems Laboratory, Chung-Ang University, Seoul, South Korea, Sep 2018 - Dec 2019

          Research Staff(Advisor: Dr. Jeongyeup Paek)

    • Led a project about audio-based real-time drone ranging and localization using deep learning on Linux and Raspberry-Pi
  • Purdue University, West Lafayette IN, Jun 2018 - Aug 2018
    • Developed a system that can distinguish UAV with 97% accuracy using intensive deep learning such based on audio features(MFCCs)
  • Reserve Officers' Training Corps(ROTC), Chung-Ang University, Seoul, South Korea, Jan 2017 - Feb 2020

          Cadet Officer(57th, 58th)

  • Department of Computer Science and Engineering, Chung-Ang University, Seoul, South Korea, Sep 2017 - Aug 2018

          Student Representative

  • Chung-Ang University, Seoul, South Korea, Mar 2017 - Dec 2017

          Teaching Assistant

    • Covered basic software programming using Scratch
  • Samsung Dream Class, Seoul, South Korea, Mar 2016 - Dec 2016

          Math Lecturer

    • Projects

    Click each item to view details - More information(design, implementation) is in the Github Readme

    1. Stock Manager

  • Date: Mar 2024 - Apr 2024
  • Contents: Stock search, shows detailed analysis of stocks, add wishlist and buy/sell
  • Role: Full-Stack(Angular, Node.js, Flask, MongoDB, Android Studio)
    • [Webpage]

    2. Carrot Truck

  • Date: Oct 9, 2023 - Nov 17, 2023 (6 Weeks)
  • Contents:
    • Client: Find food trucks and Order foods
    • Vendor: Regist food truck, Manage vendor info, Check commercial analysis
  • Role: Backend(Spring boot, Hibernate JPA, TDD, MySQL, Amazon S3), Frontend(React.js, Typescript)
    • [Git] [Code]

    3. Chaeum

  • Date: Aug 28, 2023 - Oct 6, 2023 (6 Weeks)
  • Contents: Personal ingredient and recipe recommendation app service
  • Role: Backend(Spring boot, Hibernate JPA, MariaDB, Redis), CI/CD(Amazon EC2, Docker, Jenkins)
    • [Git] [Code]

    4. Speaking Path

  • Date: Jul 10, 2023 - Aug 18, 2023 (6 Weeks)
  • Contents: Web service to help people with stroke(speech disorder)
    • Pronuncitation practice with AI (OpenAI Whisper and our own speech recognition model)
    • Consulting reservation and video communication service (WebRTC OpenVidu)
  • Role: Backend(Spring boot, Hibernate JPA, MariaDB, Redis, Flask), Frontend(React.js, JavaScript)
  • This project is awarded by Samsung
    • [Git] [Code]

    5. Trip or Trip

  • Date: May 18, 2023 - May 26, 2023 (8 Days)
  • Contents: Discover and share diverse travel spots and eateries in Korea
  • Role: Backend(Spring, MyBatis, MySQL), Frontend(Vue.JS)
  • This project is awarded by Samsung
    • [Git] [BE Code] [FE Code]

    6. Audio-based Drone Ranging and Localization using Deep Learning

  • Date: Sep 2018 - Jun 2019 (10 Months)
  • Contents: Real-time audio-based system that uses deep learning for not only detecting but also ranging and localization of a drone
  • This project is published on ACM MobiSys'19 [DOI]
    • [PDF] [POSTER] [Git]

    7. Pick Pic

  • Date: Apr 2017 - Jun 2017 (2 Months)
  • Contents: Android application which can categorize your photo by tag using Inception V-3
  • Tech stack: Python, Node.js, Android Studio, Deep Learning(Google Inception V-3)
    • [Git]

    Misc

  • Sports: Golf, Tennis, Squash, Running, Taekwondo 1st Dan