CV

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Education

• B.S. Computer Science at Georgia Institute of Technology, 2019.8 ~ Present
  • Concentration in Intelligence and Theory
  • Minor in Economics
  • Honors Program

Experience

• Software Dev Engineer I Intern
  • Summer 2021
  • Amazon Alexa Organization
    • Developed a multimodal Alexa skill that provides an optimized interactive user experience via utilization of implicit contextual information.
    • Established a scalable webapp infrastructure incorporating AWS services: Lambda, DynamoDB, S3, CloudFront, etc.
    • Leveraged AWS Rekognition to utilize computer vision techniques in identifying the contextual data.
• Teaching Assistant
  • Spring 2021
  • Georgia Institute of Technology
  • CS2110 - Computer Organization and Programming
    • Topics: digital circuits, machine language instructions, and C programming.
• Research Intern
  • Summer - Winter 2020
  • Software Platform Lab at Seoul National University
    • Developed data refurbishing, a new approach in data augmentation to make Deep Learning model training faster.
    • Implemented Revamper, a data loading system realizing data refurbishing on top of PyTorch library with 2K+ lines of code.
    • Accelerated the training of computer vision models(VGG16, ResNet-18, MobileNet-V1, EfficientNet-B0) by 1.03× – 2.04× while maintaining comparable accuracy.
• Teaching Assistant
  • Summer 2020
  • Georgia Institute of Technology
  • CS 1332 - Data Structures and Algorithms
    • Topics: data structures (queue, stack, tree, and heap), graph algorithms, and dynamic programming.
• Corporate Outreach
  • Summer 2020 - Spring 2021
  • Data Science @ Georgia Tech/ Hacklytics
    • Reach out to club sponsors and maintain relations with current sponsors
    • Organize guest talks and workshops at Hacklytics

Skills

• Programming
  • C
  • C++
  • Java
  • Python
  • LaTex
  • Typescript
  • Javscript
  • HTML
  • MATLAB

  Most Proficient programming languages have been italicized

• Others
  • PyTorch
  • AWS
  • Hugging Face
  • Scikit-learn
  • GIT
  • Android Studio
  • JUnit
  • GDB
  • shell
• Language
  • English - native
  • Korean - native

Research

• Systems for Artificial Intelligence Lab(SAIL)
  • Summer 2021 - Present
  • Systems research for Deep Learning supervised by Dr. Alexey Tumanov
  • Design supernets for natural language processing models such as BERT for efficient model training and deployment in hardware-constrained settings.
  • Develop a new training and inference system by building on top of Hugging Face library in PyTorch.
• Social and Language Technologies (SALT) Lab
  • Fall 2020 - Present
  • Natural Language Processing Research supervised by Dr. Diyi Yang
  • Research on Humor Classification and Generation [Fall 2020 - Spring 2021]
    • Developed humor detection and generation models utilizing various natural language processing models, including BERT, BART, and GPT2, via frameworks such as Hugging Face.
    • Designed methods to evaluate machine generated humor both quantitatively and qualitatively.
• Lemotif Research
  • Spring 2020 - Fall 2020
  • Computer Vision Research supervised by Dr. Devi Parikh
  • An intuitive journalling tool that embodies semantic analysis and image generation.
  • Developed an IOS application for the project.

Projects

Im2Vec : A Language Model Approach to Understanding Image Classification

Drawing Panel

Farm Fever

Papers

Analysis of Input Pipeline Overhead for Training Image Classifiers with Data Augmentation (KSC 2020)

Irene Lee (Georgia Tech), Gyewon Lee(Seoul National University), Byung-Gon Chun.

Refurbish Your Training Data: Reusing Partially Augmented Samples for Faster Deep Neural Network Training (USENIX ATC 2021)

Gyewon Lee, Seoul National University and FriendliAI; Irene Lee, Georgia Institute of Technology; Hyeonmin Ha, Kyunggeun Lee, and Hwarim Hyun, Seoul National University; Ahnjae Shin and Byung-Gon Chun, Seoul National University and FriendliAI

Organizations

• Data Science at Georgia Tech / Hacklytics
  • Member ( Fall 2019 ~ )
  • Corporate Outreach ( May 2020 ~ May 2021)
  • Reach out to club sponsors and maintain relations with current sponsors
  • Organize guest talks and workshops at Hacklytics
• Programming Team
  • member (Spring 2020 ~ )
  • Learn and study various data structures and algorithms
  • Prepare for competitive programming competitions such as ICPC.

Judge Volunteers

• HoneyWell STEM Challenge Judge
  • December 2019
  • Judge middle school students’ design of technology based solution for social good using Micro Bit.
• Amazon EarSketch Competition Judge
  • January 2019
  • Assess coding skills of participants, who create songs in Python using EarSketch module