Summary
Gwangil Seo is a manager and AIOps/ML engineer with 8 years of experience building production-grade AI systems and MLOps platforms for finance and manufacturing clients. He has led development of robo-advisors, portfolio and trading optimization systems, and enterprise AI/OCR products—owning architecture, API design, model optimization (including reinforcement learning reward tuning), and secure deployment on Kubernetes/AWS. Comfortable across the stack, he combines backend service work, database tuning, and inference-serving (TensorFlow, PyTorch, TRITON) with hands-on infrastructure management for both cloud and on-prem environments. A statistics graduate, he brings a rigorous data-first approach to feature engineering and AutoML while also driving developer-facing operational tooling and performance profiling. Notably, his career blends customer-facing PoCs for banks and insurers with internal platformization work that reduced friction for repeated model deployment.
8 years of coding experience
학사, Statistics, 학사, Statistics at 부산대학교