Summary
Giyeon Shin is a senior software engineer based in Seoul with 10 years of experience building production services and AI-driven systems across LG CNS and prior research labs. She has delivered full-stack and backend solutions—from node.js and Spring microservices to AWS IoT, Lambda, Glue, and Terraform—while owning analysis, design, and data-pipelining for large enterprise services like LGE VMS/FMS and Intellytics. Her background bridges applied machine learning and software engineering, with hands-on work in PyTorch/TensorFlow for object tracking, protein secondary-structure prediction, and knowledge-base augmentation. Comfortable in both research and industrial settings, she has led projects as PL and implemented maintainable platforms integrating time-series stores (TimestreamDB), Redis, and CI/CD tooling. Notably, her career combines defense-grade AI search systems from military service with commercial IoT and demand-forecasting products, reflecting a pragmatic approach to turning experimental models into operational software.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Electrical Engineering and Computer Science, 3.7/4.5(all) 4.2/4.5(major), Bachelor's degree, Electrical Engineering and Computer Science, 3.7/4.5(all) 4.2/4.5(major) at 광주과학기술원
High School Diploma, High School Diploma at Daejeon Science High School
석사(중퇴), 전산학부, 3.6/4.3(all, major), 석사(중퇴), 전산학부, 3.6/4.3(all, major) at 한국과학기술원(KAIST)