Bachelor of Science in Computer Science
Computer Science major. Degree GPA: 3.824. Honors: Magna Cum Laude.
Computer Science | Artificial Intelligence | Research
I am a computer scientist, AI graduate researcher, doctoral student, and U.S. Air Force veteran building research prototypes and applied systems across personalization, knowledge tracing, NLP, data engineering, accessibility, and algorithm visualization.
Profile
I bring together computer science training, graduate-level AI study, and years of high-consequence technical work maintaining B-1B and KC-135 airframes in the United States Air Force. That background shapes how I write software: systems-first, evidence-driven, and attentive to reliability.
My public work now spans temporal heterogeneous graph knowledge tracing, biomedical NLP, persistent personalization for AI assistants, temporal subset ANN search, accessibility-focused HCI, cloud developer tooling, data engineering pipelines, and interactive algorithm education.
Education
Computer Science major. Degree GPA: 3.824. Honors: Magna Cum Laude.
Artificial Intelligence concentration with graduate study aligned to machine learning, intelligent systems, and applied computing research.
Doctoral work in computing and information science, positioned around research contributions, technical communication, and advanced computing systems.
Research & Contributions
FastAPI prototype for persistent assistant personalization using compact user models instead of replaying raw conversation history.
Knowledge tracing work combining student interactions, temporal structure, graph neural networks, and interpretable baseline modeling.
Named entity recognition work using CRAFT full-text biomedical articles and Gene Ontology annotations for biological concepts.
Customer analytics pipeline integrating relational and NoSQL data into warehouse-style reporting and predictive analytics workflows.
Voice-controlled mouse navigation prototype for users with fine-motor challenges, built around practical interaction support.
TypeScript VS Code extension concept for local AWS development through mocked services and intercepted API calls.
Skills
Selected Work
Interactive educational platform for sorting, trees, hashes, graphs, and linear data structures with step-by-step state changes.
Custom graph builder with shortest-path visualizations for Dijkstra and Bellman-Ford style algorithm exploration.
Min and max heap tool with animated insert, extract, delete, update, and array representation workflows.
Classic Sudoku with generator, solver, and developer visualization for propagation and search behavior.
Algorithm demonstrations for optimization, complexity, partitioning, and heuristic problem-solving.
Browser-based arcade shooter built with JavaScript, HTML5 Canvas, object-oriented structure, and responsive controls.
GitHub Repositories
FastAPI reference implementation for persistent personalization in AI assistants using compact, continuously updated user models.
Knowledge tracing research prototype using temporal heterogeneous graph neural networks for concept dependency modeling.
Research prototype for interval-valid temporal subset approximate nearest neighbor search with scalar and category filtering.
Biomedical named entity recognition work using the CRAFT corpus and Gene Ontology annotations from full-text research articles.
HCI accessibility application that maps voice commands to mouse movement and clicks for users with fine-motor challenges.
VS Code extension concept for local AWS development through mocked services and intercepted API calls.
Data integration and analytics pipeline combining relational and NoSQL sources, ETL, warehouse modeling, and orchestration.
Database-backed human resources portal model for employees, teams, payroll, performance, training, and reporting workflows.
Customizable Twitch overlay and chatbot for displaying live chat, follows, subscriptions, raids, and stream events.