Hyeseung Lee
Software Engineer at Capital Fund Management (CFM)
Greater Paris Metropolitan Region France
Summary
👤
Senior🎓
Top SchoolHyeseung Lee is a software and DevOps engineer with eight years of experience building cloud-native systems, backend services, and scalable CI/CD pipelines across startups and enterprise teams. Known for cutting deployment times by up to 80% and automating processes that reduced map generation by 93%, Hyeseung blends hands-on backend development (Python, Node.js, FastAPI) with production reliability on AWS, Docker, Redis, and observability tooling. They have led end-to-end projects from real-time AI inference pipelines to KPI dashboards and ETL systems, optimizing performance with Athena, PostgreSQL, RabbitMQ, and Celery. Based in the Greater Paris area, Hyeseung pairs a strong academic foundation in Computer Science and Statistics with practical MLOps and SRE experience, and a track record of moving research-grade models into resilient production services.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science and Statistics, 4.0/4.5, Bachelor's degree, Computer Science and Statistics, 4.0/4.5 at Sookmyung Women's University
English, Korean, French
Github Skills (22)
human-pose-estimation9
face-detection9
re-identification9
faster-rcnn8
object-detection8
human-activity-recognition8
segmentation8
multi-object-tracking8
object-tracking8
keypoint8
yolov78
openmmlab7
mask-rcnn7
computer-vision7
yolov57
Programming languages (3)
Github contributions (5)
2hyes/CLI-development
Sep 2020 - Dec 2020
Crawling news and sns data to develope new Composite Leading Indicator(경기선행지수)
Contributions:109 commits, 8 PRs, 101 pushes in 2 months
snscrawlingcrawlercompositenews
2hyes/Fabric-Defect-Detector
Oct 2020 - Jan 2021
Contributions:23 commits, 21 pushes, 1 branch in 3 months
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