resume

2024-09-03

Personal Details

CTO & Co-founder of SIGTERM Inc.

Participated in development of high-frequency trading (HFT) system, operating on multiple major crypto markets.
Coordinated a team of 3~5 software engineers: established a code review and evaluation process.
Established guidelines and policies for code quality improvement (e.g. code review process, architecture reviews, automated linting and testing).
Developed a preliminary version of a backtest framework trading strategy parameter optimization.
Developed a low-latency order execution and management software for the HFT system.
Co-worked on python-to-C++ transition of the HFT system core.
Developed a market maker for the HFT system in rust.
Developed loss-limiting mechanism for taker-side orders.
Developed highly optimized crypto exchange clients for the HFT system in python, C++, and rust.
Significantly reduced latency of order requests over HTTPS.
Improved speed and stability of orderbook retrieval and parsing component.

Lead Data Scientist, WATCHA Inc.

Data Scientist, WATCHA Inc.

Improved recommendation accuracy and optimized the sign-up procedures of WATCHA!.
Developed content recommendation algorithm for home feed of mobile version of WATCHA!.
Improved recommendation system for WATCHAPEDIA —a Movie/TV show recommendation service.
Modeled relationships between user preferences on contents and other attributes for use in targeted advertisement.
Contributed porting python-based recommendation system to Scala.

I presented 7 peer-reviewed papers about machine learning, and participated in 2 national, > 2 coorperate research projects including:

Jul 2009 – Feb 2014 Development of models for feature extraction from multi-sensory data (Supported by Ministry of Education and Science Technology)
Sep 2008 – Dec 2009 Project Collaboration: CMEST—Vision interfaces for mobile devices (Supported by Ministry of Commerce, Industry and Energy)

Teaching assistant: Automata and Formal Languages.

Computer Science, POSTECH, B.S.

Gyeonggi Science High School

Yoonseop Kang, Taewoong Jang, Seungjin Choi, Learning features with Structure-adapting multi-view exponential family harmoniums, IJCNN, July 6 – 11, 2014.
Yoonseop Kang, Saehoon Kim, Seungjin Choi, Deep Learning to Hash with Multiple Representations, ICDM, Dec 10 – 13, 2012.
Saehoon Kim, Yoonseop Kang, Seungjin Choi, Sequential Spectral Learning to Hash with Multiple Representations, ECCV, Oct 7 – 13, 2012.
Yoonseop Kang, Seungjin Choi, Restricted Deep Belief Networks for Multi-View Learning, ECML-PKDD, Sep 5 – 9, 2011.
Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonseop Kang and Yoonsuck Choe, Manifold Alpha-Integration, PRICAI, Aug 20 – September 2, 2010.
Yoonseop Kang and Seungjin Choi, Common neighborhood sub-graph density as a similarity measure for community detection, ICONIP, Dec 1 – 5, 2009.
Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop Kang, and Yoonsuck Choe, Probabilistic combination of multiple evidence, ICONIP, Dec 1 – 5, 2009.

2024-09-03 - 이력서