Work across the full software development lifecycle, from early concept discussions to deployment and ongoing maintenance, building integrated C#/.NET backends and React frontends around client requirements. Collaborate with multidisciplinary teams on ArcGIS projects that strengthen spatial data analysis and visualization. Contribute to artificial intelligence R&D initiatives by exploring emerging approaches and helping turn promising ideas into practical solutions.

Led labs in C, Java, Spring, and Angular, using real-world scenarios to help students connect theory with day-to-day software engineering practice. Reinforced version control and unit testing foundations through Git and JUnit-centered instruction. Also introduced GitLab-based CI/CD concepts so students could understand collaborative and automated delivery workflows earlier in their training.

Led the development and evaluation of NLP and machine learning models in Python to improve keyword extraction for internal documentation. Worked hands-on with ML and NLP libraries across experimentation, training, and evaluation workflows. Shared findings, methodology, and implementation tradeoffs with the research team, contributing to a broader understanding of practical NLP applications inside the organization.

Developed and integrated web services for both mobile and web platforms using Spring Boot, Ionic, and Angular, with a strong focus on consistent cross-platform functionality and user experience. Supported code quality with JUnit-based testing and helped improve reliability as features evolved. Also contributed to continuous integration and deployment efforts that made updates more regular and the development cycle more efficient.