Nassau, Bahamas → Vermillion, SD
Computer Science Student · AI & Machine Learning Enthusiast · Software Developer
I'm a Computer Science student at the University of South Dakota, concentrating in Artificial Intelligence, with work spanning machine-learning research, software and web development, data analysis, and educational publishing.
About
I'm a junior at the University of South Dakota studying Computer Science with an Artificial Intelligence concentration and a Sociology minor. My work moves between machine-learning research, hands-on software and web projects, data analysis, and writing — all in service of building things people can actually use.
Read the full story →Featured Research
My current major research project — benchmarking predictive ML approaches, applying explanation methods like SHAP and LIME, and evaluating how AI models interpret those predictions in turn.
Supervised by Dr. Wang Longwei
Studied three prototype-based, interpretable deep-learning systems — ProtoPNet, TesNet, and ProtoPool — then reproduced and trained ProtoPool in PyTorch from the project's public repository.
Supervised by Dr. Isaiah Cohen
Exploring whether behavioral and psychological signals can predict habit adherence in college students, using logistic regression, decision trees, and random forests.
Featured Projects
Luxury construction concept — multi-page marketing site with services, a filterable project portfolio, and company storytelling.
Case study →
A filterable inventory interface with sample SKUs, stock counts, and vehicle-compatibility data for a fictional Family Islands parts supplier.
Case study →
A barbershop concept built without a framework — service pricing, a filterable gallery, and a WhatsApp-first booking flow.
Case study →
A restaurant ordering concept with menu filtering and a 10-mile delivery-radius address checker.
Case study →Books & Publications
A practical system to beat procrastination, stay organized, and balance classes, work, and life.
The S.T.U.D.Y. framework for evidence-based learning and study habits that last — with free companion resources.
A practical system to manage attention, build better habits, and get more done with less stress.
Resources
Free planners, templates, and worksheets — starting with the eight-piece College Study System collection, with more to come.
Browse resources →Research & Insights
Research notes, AI analysis, technical explainers, and project reflections will be published here as the site grows.
Visit Research & Insights →Areas of Expertise
Building and developing software solutions and applications.
Creating responsive websites and digital experiences for businesses, organizations, and projects.
Implementing and experimenting with artificial intelligence capabilities within software and digital workflows.
Research, experimentation, literature analysis, model evaluation, reproduction, and technical reporting.
Developing, editing, formatting, and preparing educational publications.
Certification
Google / Coursera · Completed August 2025 · Eight-course program covering spreadsheets, SQL, Tableau, R, and the full data-analysis workflow.
Verify Credential ↗Currently Working On
Selected Learning Journey
Graduated NGM Major High School; began Computer Science studies and USD parking-attendant work.
Completed the Google Data Analytics certificate; a summer of commercial sponge diving; continued AI coursework.
ProtoPool research, IdeaFest presentation, a second diving season, and the College Success Series.