About Me

I'm currently pursuing master's degree in computer science at Georgia Institute of Technology. Before I came to US, I worked as an electrical engineer at Samsung Electronics for 2 years. The reason I decided to become a computer science engineer is to make impact around the world. For undergraduate, I double-majored in electrical and computer engineering and business administration at Seoul National University, graduating summa cum laude. I've always been competitive and loved working on challenging tasks.

Languages

LIB/FW/TOOLs

Certifications

Courseworks

Honors

ETC

  • Python - Advanced
  • Java - Intermediate
  • C/C++ - Intermediate
  • SQL - Advanced
  • JavaScript - Intermediate
  • HTML/CSS - Intermediate
  • Flask - Intermediate
  • Tensorflow - Advanced
  • Pytorch - Intermediate
  • Pandas - Intermediate
  • Spark - Intermediate
  • D3.js - Advanced
  • Flask, Spring, Spring Boot, Node, Bootstrap, D3.js, BeautifulSoup, Selenium, MariaDB, Tensorflow, Pytorch, Scikit-Learn, Pandas, Numpy, Spark, Asyncio, boto3, Matplotlib, Seaborn
  • Professional Machine Learning Engineer (Google Cloud PMLE)
  • Professional Data Engineer (Google Cloud PDE)
  • Tensorflow Developer Certificate
  • Introduction to Graduate Algorithms
  • Machine Learning
  • Deep Learning
  • Data Visualization and Analytics
  • Health Informatics
  • Human-Computer Interact
  • Model & Simulation
  • Programming Methodology
  • Algorithms and Data Structures
  • ...
  • "Very Good" Annual Evaluation at Samsung Electronics, 2021-2022
  • Graudated Summa Cum Laude at Seoul National University, 2020
  • Research Scholarship Student, Samsung Electronics, 2018-2019
  • Internship Program Scholarship, SK Hynix, 2018-2019
  • Eminence Scholarship, Seoul National University, 2018.2
  • Merit-based Scholarship, Seoul National University, 2018.1
  • Eminence Scholarship, Seoul National University, 2017.2
  • Merit-based Scholarship, Seoul National University, 2017.1
  • Merit-based Scholarship, Seoul National University, 2016.2
  • The Education and Research Foundation College of Engineering SNU Scholarship, 2016.2
  • The Education and Research Foundation College of Engineering SNU Scholarship, 2016.1
  • Graudated Summa Cum Laude at Gwacheon Foreign Language High School, 2013
  • GRE: 162 (Verbal), 170 (Quantitative), 4.0 (Analytical Writing)
  • TOEFL: 110 (30/30/26/24)
  • Fluent in English and Korean
  • 2013 Seoul National University StarCraft League Runner-Up
  • 2013 Seoul National University StarCraft League Commentator
  • 2013 StarCraft2 College League Quarter-Finals

Career

Georgia Institute of Technology

Graduate Teaching Assistant

Atlanta, Georgia
Aug 2023 - Present

• Served as a Data Visualization & Analytics Campus TA for a diverse cohort of over 250 students.

• Conducted regular office hours - effectively addressing student inquiries, and reviewing assignments & quizzes.

Capital One

Technical Intern

Dallas, Texas
June 2023 - Aug 2023

• Collaborated with a team of four to develop a robust back-end integration layer retrieving vehicle history from Carfax and creating API endpoints with Spring Boot.

• Successfully designed and implemented a pipeline transferring data from an internal source to AWS PostgreSQL RDS, utilizing cron jobs to generate files, and automating file exchange with AWS EventBridge.

Samsung Electronics

Engineer, IT & Mobile Communication Division

Suwon, South Korea
Feb 2020 - Jan 2022

• Implemented process automation software in Python, resulting in significant weekly time savings and a reduction in human errors. (Projects: RF Measurement Program, RFcard to Signal Paths, RLC value to SEC Code, Part List)

• Led a team of 4 people to successfully manage the entire SMD process and handle the communication between R&D and factory production, resulting in a flawless outcome.

SK Hynix

Intern, NAND Semiconductor Division

Icheon, South Korea
Jul 2018 - Aug 2018

• Conducted research and simulation on LDO circuits in semiconductors and improved power efficiency by 8%, awarded best student research.

Republic of Korea Air Force

Airman with Interpreting and Administrative Specialty

Cheongju, South Korea
Mar 2014 - Mar 2016

• Attended English classes and prepared teaching materials as a teaching assistant.

• Translated administrative documents between English and Korean.

Education

Georgia Institute of Technology

Atlanta, GA
Aug 2022 - May 2024
GPA: 4.0/4.0

Master of Science - Computer Science
Specialization: Machine Learning

Seoul National University

Seoul, South Korea
Mar 2013 - Feb 2020
GPA: 4.0/4.3

Bachelor of Science - Electrical and Computer Engineering
Bachelor of Arts - Business Administration
Graduated Summa Cum Laude
Awarded 9 Honor/Eminence/Corporate Scholarships

Gwacheon Foreign Language High School

Gwacheon, South Korea
Mar 2010 - Feb 2013

English Major
Graduated Summa Cum Laude

Projects

X-ray Diagnosis

Created a highly accurate X-ray diagnosis web app by implementing an EfficientNet-based classifier at the backend, achieving a 98% accuracy and 0.98 F1-score.
Incorporated the Grad-CAM technique for enhanced interpretability.
Tech Stack - Python, JavaScript, HTML/CSS, Bootstrap, Flask, Docker, Tensorflow, Heroku

Visit Website
Github

Analysis of Tweets: Ukraine-Russia War 2022

Analayzed tweets with Sentiment-Analysis & Emotion-Analysis NLP models.
Developed Interactive Webpage with D3 for users.
Analyzed and visualized how major war-events affected average sentiments of each country.
Tech Stack - Python, D3, PySpark, Pandas, Seaborn, JavaScript, HTML/CSS

Visit Website
Video Demonstration

Wikipedia Comments Toxicity

Built several ML models to predict whether a comment is toxic or not.
Exploratory Data Analysis, Embeddings (Word2Vec, TF-IDF, BERT).
Supervised Learning Methods: Naive Bayes, RNN, BERT
Unsupervised Learning Methods: K-Means++, DBSCAN, Gaussian Mixture Model
Tech Stack - Python, Scikit-Learn, Seaborn, Tensorflow, JavaScript, HTML/CSS

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Video Frame Prediction

Building a model that predicts the next 10 image frames of two bouncing numerals based on the last 10 frames.
Designed and trained Auto-Encoder for image representation and LSTM for sequential information and combined them together.
Tech Stack - Python, Tensorflow

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Automation Software

Developed automation programs that replaced or supported repetitive paperwork at Samsung Electronics.
Programs: experiment reports, R,L,C values to codes, RFcard to signal paths, partlist.csv to specific formats.
Tech Stack - Python, Pandas, BeautifulSoup

Automatic ETF trading bot

Crawled and cleaned financial data of listed companies & ETF and stored them in MariaDB.
Developed back-testing program & trading simulator and evaluated the validity of popular quant strategies.
Implemented automatic ETF trading bot that trades ETF based on volatility breakout strategy.
Tech Stack - Python, Pandas, BeautifulSoup, Selenium, PyMySQL, MariaDB, Slack

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Text2Image

Constructing a model that generates image of birds from a caption describing birds.
Implemented a generator network based on the AttnGan paper and image-upscaling network based on EDSR paper.
Tech Stack - Python, Tensorflow, Pytorch

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One-Click Drive Upload

Developed a program that automatically uploads files & folders to user’s google drive. The program provides both synchronous/asynchronous uploads, failure report, automatic retries, command line interface and a progress bar.
Tech Stack - Python, Asyncio, Aiohttp, Tqdm, Argparse

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Assignments

Interactive Graph Visualization

Interactive Graph Visualization of
Board Games Data with D3

Image Processing Filters

Implementation of Image
Processing Filters and Results

Gaussian Mixture Model

Implementation of GMM
Pixel Clustering with GMM

Disk Based Sorting

Implementation of Disk Based Sorting

Interactive World Map Visualization

Interactive World Map Visualization
of Board Games Data with D3.

Sound Filters
(LPF / HPF)

Sound Filters and Outputs

Interactive LineChart

Interactive Linechart Visualization
of Board Games Data with D3.

Kmeans++ Implementation

Implementation of Kmeans++
With Scatter Plot Visualization

Princial Component Analysis (PCA)

PCA Implementation
from scartch with Numpy
And Image Compression

Random Forest

Random Forest
Implementation from Scratch

Neural Network

Implementation of Neural Network
From Scratch with Numpy

See more

Contact Me

hoesu.cse@gmail.com

+1) 714-341-1076

Download Resume

Copyright @ Hoesu (Morgan) Chun