Beom Woo Kang

Hi!

I'm currently working as a machine learning software engineer.

I finished my Master's in Computer Science at Hanyang University.

I'd love doing research but,

I'm a person who is more into solving problems that deliver value directly to people.

Recent Projects

Mobile-efficient NAS for Vision Tasks

nas_overview
nas_result

Proposed a Neural Architecture Search(NAS) to search for mobile-efficient ConvNets.
Searched models maintain similar or higher accuracy and half the latency to SOTA ConvNets.
Adopting the MCTS algorithm, total search costs are reduced to 1/20.
Used:
- Model Specification, Training: PyTorch, Python
- Model Deployment, Optimization: TVM Relay, Python, C++
- Multi-GPU Infra: Shell Script, SSH
- Platform: ARM64 Architecture, Linux OS
GitHub: [Link]

iOS App: Menu Picker

app_demo

An app picks the appropriate menu according to a series of randomly-ordered user choices.
Users can also get a menu suggestion at random, without any choice.
Used:
- Plan, Storyboard: Figma
- Development, UI/UX: Swift (UIKit), Lottie, Map APIs (Kakao, Naver, Apple)
- Version Control: Git
- Marketing: Google Ads
App Store: [Link]

Education

Hanyang University, Seoul, South Korea (Current)

Master in Computer Science

Hanyang University, Seoul, South Korea (2020)

Bachelor in Electronic Engineering

Virginia Tech, Blacksburg, VA, USA (2019)

Exchange Student and Summer Internship

Service & Teaching

Peer-Reviewed academic paper submissions at ICML (2022)
Teaching Assistant: HY12405 Creative Computing, ITE2031 Computer Architecture (2021)
Teaching Assistant: CSE4009 System Programming, ENE4001 Miicroprocessors (2020)
Buddy Assistance and Korean Tutoring for International Students (2018)
Served in Army - Joint Security Area (JSA) at Panmunjom (2015-2017)