Western Washington University

• Designed the frontend architecture for SPIE's Digital Library, building a React/TypeScript component library that coordinated React Islands via a Redux global store, allowing for consistent UI/UX across the platform.
• Refactored legacy model-bound views into well-structured API and Entity Controllers in C#/ASP.NET MVC.
• Redesigned the Digital Library's session system end-to-end, from frontend state to backend authentication controllers.
• Decreased page load times by 90% through Webpack bundle optimizations, lazy loading, and Redis caching.

• Designed and built a novel adversarial framework in Python that outperformed state-of-the-art detection methods, validating results against real municipal network data with cross-dataset validation.
• Developed a novel encoding scheme, rethinking adversarial DNS Exfiltration by using combinatorial mathematics to optimize data transmission through structural patterns rather than payload manipulation.
• Implemented reinforcement learning and LSTM models to optimize system configurations and mimic realistic network behavior, maximizing throughput while evading detection.
• Engineered concurrent data pipelines for simulating, parsing, and validating large volumes of DNS records.

• Designed and developed a full-stack course scheduling application serving up to 1,000 monthly users, using bitmask-based conflict detection with backtracking to generate optimized schedules based on timing, compactness, and GPA.
• Built a Go backend with SQLite persistence, a background job scheduler for automated data synchronization, and a concurrent web scraper pulling from WWU's Banner API to maintain up-to-date course catalogs.
• Developed a responsive React/TypeScript frontend with persistent client-side state, real-time course search with relevance scoring, and an interactive calendar interface for browsing and comparing generated schedules.

• Developed a high-performance Vulkan renderer for Raspberry Pi 5 using Go, processing 16-bit NASADEM elevation grids into triangle mesh terrain with water surface detection and achieving stable 60 FPS.
• Built a custom chunk-based rendering system from scratch with frustum culling and 5-level distance-based LOD, reducing GPU load by 50% via concurrent worker-pool streaming with bucket-allocated GPU memory.
• Integrated team feedback to iteratively refine rendering performance and user interface.