06/2021 - Present

07/2020 - 08/2020

• Designed and developed a highly interactive monitoring system to empower customers with comprehensive data analysis and visualization capabilities.
• Utilized Docker, Grafana dashboard, and a Python Flask application to seamlessly fetch time-series data from Siemens MindSphere APIs.
• Enhanced customer engagement and decision-making by providing real-time insights and actionable data through the user-friendly interface.
• Link: https://github.com/JayHsieh1104/Mindsphere-APIs-Visualization-with-Grafana

09/2018 - 01/2019

• Collaborated closely with a team of four engineers to develop a robust recovery system for services and applications running within the OpenStack cloud infrastructure.
• Devised and implemented effective virtual machine backup and restore strategies.
• Ensured continuous data protection and the ability to swiftly recover from potential service disruptions, enhancing overall system reliability and data integrity.

07/2018 - 08/2018

• Significantly improved machine learning training efficiency by accelerating the existing process by an impressive 473%.
• Designed and implemented a highly scalable system leveraging Docker, Kubernetes, CUDA, OpenMPI, and 12 high-speed graphics processors.
• Achieved exceptional speed and performance gains, resulting in faster model training and increased productivity.

07/2017 - 08/2017

• Leveraged Selenium, Jenkins, JIRA, Gitlab, and CI/CD methodologies to streamline OpenStack cloud testing.
• Achieved a 20% reduction in release times and maintained over 70% test coverage.
• Experienced in test plan creation, test suite development, and cross-functional collaboration for software quality assurance.