Computer Science | Artificial Intelligence | Research

Building explainable, interactive software for complex technical systems.

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

Technical foundation with operational discipline.

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

Degrees and Current Graduate Study

Conferred Dec. 19, 2025

Bachelor of Science in Computer Science

Computer Science major. Degree GPA: 3.824. Honors: Magna Cum Laude.

Active since Sept. 4, 2025

Master's Program in Computer Science

Artificial Intelligence concentration with graduate study aligned to machine learning, intelligent systems, and applied computing research.

Active since Apr. 22, 2026

Doctoral Program in Computing & Information Science

Doctoral work in computing and information science, positioned around research contributions, technical communication, and advanced computing systems.

Research & Contributions

Research prototypes and open technical artifacts with a clear applied-computing thread.

AI Personalization & Memory

FastAPI prototype for persistent assistant personalization using compact user models instead of replaying raw conversation history.

Temporal Graph Learning

Knowledge tracing work combining student interactions, temporal structure, graph neural networks, and interpretable baseline modeling.

Biomedical NLP

Named entity recognition work using CRAFT full-text biomedical articles and Gene Ontology annotations for biological concepts.

Data Engineering

Customer analytics pipeline integrating relational and NoSQL data into warehouse-style reporting and predictive analytics workflows.

Accessibility & HCI

Voice-controlled mouse navigation prototype for users with fine-motor challenges, built around practical interaction support.

Developer Tools

TypeScript VS Code extension concept for local AWS development through mocked services and intercepted API calls.

Temporal graph KT Biomedical NER AI memory systems Temporal ANN search Accessibility tooling Data pipelines Algorithm education

Skills

Core Technical Strengths

Languages & Web

JavaScript Python Java C++ SQL HTML CSS

Systems & Methods

Data Structures Algorithms Object-Oriented Design Testing Git Technical Documentation Root Cause Analysis

Frameworks & Tools

React Next.js Node.js Canvas API Supabase Vercel Jest

Research & Data

FastAPI NLP Knowledge Tracing Graph Neural Networks ANN Search ETL SQL Server MongoDB

GitHub Repositories

Additional research, engineering, and applied computing work from public GitHub repositories.

Contact

Connect about research, software, or collaboration.

Use the form or reach out through GitHub and LinkedIn. I am interested in AI research, software engineering, algorithm education, and applied computing projects.