Address: Seoul, Korea
Email: taeyoun9@gmail.com
OBJECTIVE
Reseach on generative models, Image & Data Generate, Diffusion Model, Embedded
WORK EXPERIENCE
| DeepET, Seoul/South Korea | 11/2021 ~ 02/2024 |
|---|
| | AI Researcher (2Y 4M) |
| Konkuk University, Seoul/South Korea | 03/2023 ~ 06/2023 |
|---|
| | TA on Electrical and Electronic Design and Software Practice (6M) |
| Konkuk University, Seoul/South Korea | 03/2022 ~ 06/2022 |
|---|
| | TA on Electrical and Electronic Design and Software Practice (6M) |
| QURO, Gyeonggi-do/South Korea | 05/2019 ~ 02/2022 |
|---|
| | Research and Development Engineer (2Y 10M) |
| | Achieved ₩200,000,000 in sales: Electric Live Alarm 2021 |
EDUCATION
| Master’s Degree of Electrical and Elecronic Engineering | 09/2021 ~ 02/2024 |
|---|
| | Konkuk University, Seoul |
| Bachelor’s Degree of Electrical and Electronic Engineering | 01/2020 ~ 08/2020 |
|---|
| | National Institute for Lifelong Education, Seoul |
| | Tech University of Korea, Gyeounggi-do(dropout) |
| Study Aboard | 07/2015 ~ 08/2015 |
|---|
| | California State University, Monterey Bay |
ADDITIONAL SKILLS
Languages:
C, Python, Verilog, VHDL
Technical Skills:
Linux, MCU Control, Markdown, Schematic Design, PCB Design
Software Skills:
Microsoft Word, Excel, Powerpoint, Photoshop, PremierePro, Vegas, 한글
Certifications:
아마추어무선기사 (2급)
소방안전관리자 (1급)
JLPT (N4)
자동차운전면허 (1종보통)
KS Q ISO/IEC 17025, 질량 및 부피 정밀측정, 측정불확도, 길이분야 정밀측정 수료 및 합격 (한국계량측정협회)
PAPER
Tae Yeong Yu et al., “Design and Structural Simplification of a CNN Acceleration Processor Based on RISC-V” (IPIU 2022)
Seo Jin Jang et al., “DCT-based Convolution Neural Network Model Compression for Embedded Platform” (IPIU 2023)
Tae Yeong Yu et al., “Research on Effective Dataset Generation Using Generative AI for Deep Learning Training”
