At SK hynix, I have worked on machine learning model development for failure prediction, quality management, and process optimization. Here are the main projects and roles:[Projects and Roles]1. Computer Vision Model Development for Semiconductor Auto Metrology (23.01~)• Developed computer vision models using PyTorch and OpenCV frameworks.• Deployed and served models on private cloud platforms.• Performed multi-model inference using GPU clusters in a Kubernetes environment.• Implemented version control and automated deployment using Jenkins and Git-based CI/CD pipeline.2. Image Super Resolution Product Development for Semiconductor Failure Analysis (22.01~23.01)• Led the project, defining problems and establishing the product roadmap.• Developed image super resolution models using PyTorch frameworks.• Deployed and operated machine learning products on private cloud platforms.• Designed and developed APIs and databases.• Managed model versioning and automated deployment using Jenkins and Git-based CI/CD pipeline.3. Latent Defect Prediction Model Development (21.01~22.01)• Developed prediction models using Scikit-learn and PyTorch frameworks.• Built automated data processing pipelines, extracting data from data lakes using Apache Impala.For more detailed information, please refer to the project section.