윤대희
Data Science Team Leader
Seoul, South Korea
Summary
👤
Senior🎓
Top School윤대희 is a Data Science Team Leader based in Seoul with 8 years of experience building production-grade machine learning and computer vision systems. He has led real-time conversion engine architecture and implemented serverless REST-based inference pipelines, combining hands-on modeling with pragmatic engineering. His skill set spans Python, C/C++, C#, TensorFlow, PyTorch, OpenCV, PySpark, and cloud platforms (AWS, GCP), enabling end-to-end data collection, cleansing, preprocessing, and post-processing workflows. At Kakao Style and previously Urbanbase, he has guided teams from prototypes to scalable deployments, often optimizing inference and data pipelines for real-time use. Beyond modeling, he brings practical systems expertise—Dockerized services, EMR/ Athena/ Lambda orchestration, and SQL tuning—to close the gap between research and reliable production. Colleagues rely on him for solving tricky vision and ML problems that require both algorithmic insight and robust engineering.
8 years of coding experience
3 years of employment as a software developer
학사, 학사 at 서울과학기술대학교Programming languages (2)
Github contributions (5)
076923/076923.github.io
Aug 2018 - Jan 2023
Contributions:357 commits, 409 pushes, 1 branch in 4 years 5 months
076923/docs
Feb 2021 - Nov 2024
Contributions:127 pushes, 1 branch in 3 years 10 months
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