Hi Bye

I am an AI software engineer with deep hands-on experience building, deploying, and optimizing machine learning systems for large-scale applications. I focus on the end-to-end ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and production deployment.

At Samsung I led efforts to deploy multimodal models on Azure ML and Kubernetes, improving inference efficiency and implementing CI/CD, observability, and automated retraining for fraud detection and personalization. Previously at Sony AI and Rakuten I reduced iteration times through distributed training, experiment tracking, and robust API-backed model serving.

I bring practical MLOps expertise with tools like Docker, Kubernetes, Azure ML, MLflow and GitHub Actions, and a strong engineering background in Python, PyTorch, TensorFlow, and backend API development. I am passionate about applying AI to make financial and digital systems more accessible, efficient, and intelligent.