윤대희 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.
Contributions:127 pushes, 1 branch in 3 years 10 months
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