Quant Developer at Kyobo Securities
INTERESTS
Market Making
HFT (High-Frequency Trading) via DMA (Direct Market Access)
E-mail: sungminryu94@gmail.com
EDUCATION
M.S. in Electrical & Electronic Engineering
Yonsei University, Seoul, Republic of Korea
(Mar. 2020 - Feb. 2022)
B.S. in Electrical & Electronic Engineering
Yonsei University, Seoul, Republic of Korea
(Mar. 2017 - Feb. 2020)
* Transferred from Sogang University
Whimoon High School, Seoul, Republic of Korea
(Mar. 2009 - Feb. 2012)
WORK EXPERIENCES
(Feb. 2023 - Present)
Software Engineer, NH Futures Co., Ltd. (Derivatives Brokerage House)
Seoul, Republic of Korea
(Aug. 2022 - Jan. 2023)
* Linux system programming (e.g., IPC, thread, socket, etc.)
* Developed and operated front-end processor (FEP) systems
* Reorganized and developed HTS/MTS server systems to respond to the next-generation system of the Korea Exchange (KRX)
* Operated direct market access (DMA) order management systems
(Jul. 2019 - Aug. 2019)
* Developed a framework for lightweight DNNs (i.e., quantization) using PyTorch
Intern, Chain Partners (Blockchain Start-up)
Seoul, Republic of Korea
(May. 2018 - Sep. 2018)
* Research on blockchain systems
* UI/UX design for blockchain applications
ACTIVITIES
Capstone Design in School of Electrical & Electronic Engineering
Yonsei University, Seoul, Republic of Korea
(Dec. 2018 - Jun. 2019)
(Sep. 2018 - Dec. 2018)
Yonsei Blockchain LAB (Club)
Yonsei University, Seoul, Republic of Korea
(May. 2018 - Sep. 2018)
* Developed smart contracts in C++
* Lecturer for EOSIO software system
ESL Course in Intensive English Institute
University of Illinois at Urbana-Champaign (UIUC), Illinois, USA
(Jan. 2018 - May. 2018)
Military Service (Auxiliary police)
Yeongdeungpo Police Station, Seoul, Republic of Korea
(Jun. 2014 - Mar. 2016)
PUBLICATIONS
C. Park, B. Kim, S. Ryu, and W. Song, “NeuroSpector: Systematic Optimization of Dataflow Scheduling in DNN Accelerators,” IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 34, no. 8, Aug. 2023, pp. 2279-2294 [Github]
S. Ryu, “Optimization of Reconfigurable Deep Neural Network Accelerators Using Bottom-up Mapping and Energy Prediction,” Master’s Thesis, Yonsei University, Dec. 2021.
PATENTS
W. Song, C. Park, B. Kim, and S. Ryu, “Neural Network Computing Device and Control Method,” US17/883010, Aug. 2022.
PROGRAMMING LANGUAGES
C/C++, Python, Java, CUDA C/C++, Verilog, HTML, CSS, MySQL
CERTIFICATIONS
Certified Derivatives Investment Advisor (파생상품투자권유자문인력), Korea Financial Investment Association
(Nov. 2022)
AWARDS AND HONORS
Graduate Admission Scholarship, Yonsei University
(Jan. 2020)
High Honors Student Award, Yonsei University
(Jan. 2019)