Contributing to the C++ based connectivity and telematics platform software that power GM OnStar for current and future vehicles, experience include but not limited to: • Designing and developing connectivity management services to manage all internal/external connectivity requests, enabled connectivity services and retry handling to all GM vehicles software components• Designed and developed Jenkins base CI/CD pipeline and test framework, enabled daily automate multi-layer integration tests• Refactored and improved unit tests for sub-components to achieve at least 95% code coverage

• Designed and developed microservices for GM Connected Advisor and Realtime Ecosystem• Contributed to DevOps automated CI/CD pipeline based on Jenkins, Python and PowerShell script• Containerized and managed web application components using docker and Kubernetes • Ensured all code are covered by multi-layered tests using Mockito, Cucumber, Selenium• Collaborated with Frontend and UX developer to create reusable Angular components to call backend Restful APIs • Performed in a Agile environment across multiple teams, delivering functional and none functional features as business requirement and following both industrial and organizational standards

• Developed an automatic Slurm workload manager testbed for high-performance computer based on docker• Simulated and monitored system performance from different Slurm configurations• Provided easy environmental set up for future development of Slurm simulator• Modeled a hundred virtual computer nodes in a single physical host with the capability of scaling to multiple physical hostsPaper published: Nikolay A. Simakov, Robert L. Deleon, Yuqing Lin, Phillip S. Hoffmann, and William R. Mathias. 2022. Developing Accurate Slurm Simulator. In Practice and Experience in Advanced Research Computing (PEARC '22), July 10–14, 2022, Boston, MA, USA. ACM, New York, NY, USA 4 Pages. https://doi.org/10.1145/3491418.3535178