Youngbin Yu is a data engineer with 8 years of experience building scalable, operable data platforms for game and real-time environments across multi-cloud deployments. He has led platform adoption and standardization efforts—driving Databricks lakehouse rollouts, metadata-driven APIs that cut onboarding by 90%+, and unified connectors for multi-tenant revenue data. Comfortable from infrastructure-as-code and Kubernetes provisioning to production pipelines and monitoring, he focuses on architectures that scale with teams as well as data. His work spans analytics, personalization, and multilingual NLP/IE pipelines, with a practical emphasis on retryable, backfill-capable streaming workflows. Based in Helsinki, he combines hands-on implementation with operational clarity, often turning fragmented execution environments into reproducible, low-latency systems.
7 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at Kyung Hee University
Multimodal Transformer for Korean Sentiment Analysis with Audio and Text Features
Contributions:80 commits, 18 pushes in 1 month
nlpmultimodalsentimentaudiotransformer
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