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Computer Information Systems student, software engineer, AI/cybersecurity learner, and incoming Booz Allen Hamilton SWE intern.
I'm a University of South Carolina student studying Computer Information Systems with a Business Information Management minor and concentrations in Artificial Intelligence and Cybersecurity.
My work sits at the intersection of software engineering, applied research, data-driven tools, and clear technical communication.
I have worked on U.S. Navy-sponsored reliable perception research, biomedical visualization tooling for Jupyter, web development and introductory programming instruction, and professional engineering leadership through Theta Tau.
University of South Carolina
Below are some of my technical strengths, and I'm always looking to learn more.
The focus areas reflect my resume, current research, coursework, and the kinds of roles I am pursuing.
Java is one of my strongest languages and a foundation for my computer science coursework, object-oriented programming practice, and teaching support. I use it to reason through data structures, algorithms, program design, and clean implementation patterns.
I use Python across research, data analysis, and technical demos, including NumPy, Pandas, Matplotlib, and Jupyter workflows. My biomedical visualization and perception research experience has made Python a practical tool for building, testing, and explaining technical systems.
C++ is part of my technical toolkit for systems-oriented coursework and performance-aware programming. I am comfortable working close to the implementation details and using C++ to strengthen my understanding of memory, structure, and lower-level design tradeoffs.
My web experience includes JavaScript, TypeScript, React.js, and browser-based tooling. As a teaching assistant, I supported students learning web development concepts, debugging practices, and the details that turn a working page into a usable interface.
I use Node.js, Git, and modern developer tooling to build, organize, and maintain software projects. I care about reproducible workflows, readable commits, and project structures that make it easy to understand what changed and why.
My AI concentration and research experience include PyTorch, Scikit-learn, simulation-driven evaluation, and model-oriented analysis. I am especially interested in applied systems where models must be understandable, measurable, and useful in real conditions.
My cybersecurity concentration shapes how I approach software: with attention to risk, system boundaries, data handling, and dependable behavior. I am building toward roles where secure engineering and practical implementation meet.
In research settings, I have supported reliable perception work for unmanned maritime systems and biomedical visualization tooling. That work has involved simulations, sensor evaluations, demos, issue collaboration, and building tools that help technical teams move faster.
As an undergraduate teaching assistant and Theta Tau chair, I have built practice materials, supported students one-on-one, organized professional development events, and helped peers improve resumes, LinkedIn profiles, study habits, and technical confidence.
Here you can see the project structure I will continue building out.
Each slot opens into the same modal format as the original site, ready for summaries, screenshots, repositories, demos, or reports.
I will keep filling these out as projects become ready for recruiters to review.
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A short summary of my education, work experience, research, and leadership.
I will join Booz Allen Hamilton as a Software Engineering Intern starting in June 2026, continuing my focus on practical, mission-oriented software engineering.
I support a U.S. Navy-sponsored team of engineers working on simulations, sensor evaluation, adverse-condition testing, and AI-enabled EO/IR camera models with PyTorch.
I led IPyNiiVue work to bring WebGL2 NiiVue visualization into the Jupyter environment using Python, creating demos and collaborating on issues, performance, and user feedback.
I provided individualized support for web development and introductory programming, developing supplemental materials, practice problems, and code examples for students.
I organize company outreach, networking events, resume and LinkedIn reviews, academic workshops, study sessions, and shared resources for engineering students.
I helped plan monthly neighborhood events averaging 250+ residents, confirmed 40+ pieces of legislation, and drafted and advocated for bills on behalf of residents.
I am pursuing a B.S. in Computer Information Systems with a Business Information Management minor and concentrations in Artificial Intelligence and Cybersecurity.
Honors include EY USC Case Competition 2026 - 1st Place, GCC University Case Competition 2025 - 2nd Place, Capstone Scholar, Magellan Journey, President's List, Dean's List, Dean's Scholar, and CFA Remarkable Futures.
