Deep Learning Systems, Computer Vision
Soongsil University
Smart Systems Software, B.S. (2016.03 - 2020.08, Expected)
GPA: 4.38 / 4.50
Major-Calculated GPA: 4.45 / 4.50
Machine Learning
on Coursera (Stanford Online), Prof. Andrew Ng's class
certified @ 2020.06
Neural Networks and Deep Learning
on Coursera (deeplearning.ai), Prof. Andrew Ng's class
certified @ 2020.06
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
on Coursera (deeplearning.ai), Prof. Andrew Ng's class
certified @ 2020.07
Structuring Machine Learning Projects
on Coursera (deeplearning.ai), Prof. Andrew Ng's class
certified @ 2020.07
Convolutional Neural Networks
on Coursera (deeplearning.ai), Prof. Andrew Ng's class
certified @ 2020.08
Computer Vision Course
on AI Innovation Square, South Korea
certified @ 2020.08
English
TEPS 409 (exam date: 2019.10.19)
TOEIC 955 (exam date: 2020.04.26)
Intern in Rubicom Lab, SSU
during undergraduate (2018.01 - 2018.12)
experience on using CRIU, Kernelshark
participated on developing task graph & document generating program using Python, kernel trace (trace-cmd)
won Excellence Award with above project on Competition held from department of Smart Systems Software, 2018
Intern in LIG NEX1
during undergraduate (2019.07 - 2019.08)
developed crawling software using Selenium with chrome driver
Developer in Department of Smart Systems Software
during undergraduate (2017.07 - 2017.08)
developed new website using Flask, RequireJS
Developer in Club YourSSU
during undergraduate (2016.03 - 2019.02)
maintained
API Server using Flask
Web Client using Vue.JS
Android Application using Java, MVC
Controlling Pi using web (WebPI)
during undergraduate (2020.01 - 2020.03), as Graduation Project
developed API and Web Client using Django, React with mobx
SSU Subject Parser (ssu-timetable)
during undergraduate(2018.12 - 2020.02)
developed a python package using BeautifulSoup