Conferred Dec. 2025
Bachelor of Science in Computer Science
Degree GPA 3.824; Magna Cum Laude.
About
Computer science grounded in systems thinking.
I combine computer-science study, developing AI research, and high-consequence operational experience. That mix shapes a practical approach: understand the system, make state visible, test the core, and communicate limitations directly.
Background
From airframes to algorithms.
Before focusing on software and research, I maintained B-1B and KC-135 airframes in the United States Air Force. Work in that environment rewarded procedural discipline, careful diagnosis, and respect for the difference between a plausible explanation and a verified condition.
I bring that same outlook to software. My current interests span artificial intelligence, educational technology, knowledge modeling, adaptive assessment, data visualization, accessibility, and applied systems development.
Good technical work should make it easier to see what is happening, why it is happening, and where uncertainty remains.
Education
Academic path
The portfolio records completed undergraduate study and ongoing graduate work. Institution names and a résumé are not published in this repository, so this page does not infer them.
Graduate study
Master’s program in Computer Science
Artificial-intelligence concentration aligned with machine learning, intelligent systems, and applied computing research.
Doctoral study
Computing & Information Science
Ongoing doctoral work centered on research contribution, technical communication, and advanced computing systems.
Technical practice
Tools in service of the problem.
The repository demonstrates strongest evidence in browser-based JavaScript, algorithms, visualization, testing, and technical documentation. Linked public repositories extend into Python, data systems, NLP, and AI prototypes.
Software
JavaScript, Python, Java, C++, SQL, HTML, CSS, object-oriented design, Git, testing, and documentation.
AI & data
Knowledge tracing, graph learning, NLP, approximate-nearest-neighbor search, ETL, relational data, and applied modeling.
Interaction
Algorithm visualization, Canvas and SVG interfaces, accessibility-oriented design, responsive UI, and educational explanations.
More context
See the work behind the description.
The project inventory distinguishes maintained demonstrations, research prototypes, experiments, and archived work.