I’m a software engineer working across full-stack applications, backend services, cloud-based systems, and AI-assisted workflows. I focus on turning problems into code that is dependable, readable, and suited to the task.
I’m a software engineer interested in building systems that are dependable, easy to extend, and straightforward to work with. My work spans full-stack applications, REST APIs, cloud-based services, and AI-assisted workflows, with attention to how code holds up as needs evolve.
I hold a Master's degree in Computer Science from the University of Illinois Springfield and a Bachelor's degree in Information Technology from the University of North Carolina Wilmington. I am currently pursuing an MBA in Business Intelligence and Data Analytics at Fayetteville State University, which strengthens my ability to connect technical execution with business outcomes.
I previously worked as a Software Engineer at Up Cancer, where I built interfaces and backend services that supported workflow and user-management tools.
I also contributed to Oppia, a nonprofit focused on accessible education, where I helped improve web experiences and documentation for a global audience.
At Outlier AI, I supported AI training workflows and evaluation practices, gaining hands-on experience with practical machine learning and data quality processes.
I’m motivated by work that starts with a clear problem and leads to a careful build. I tend to break problems into manageable pieces, shape solutions around the constraints at hand, and refine them as the work progresses.
A selection of projects that reflect how I approach building software: through clear scope, careful execution, and attention to the details that matter.
Project
Technologies: React, Node.js, DynamoDB, JavaScript
Implemented React interfaces and Node.js services for user-management and operational workflows.
Supported day-to-day coordination with clearer data flow and more structured interface behavior.
Project
Technologies: Python, CSS, HTML, JavaScript
Contributed interface and documentation updates for an open-source education platform.
Improved usability and made the experience easier to follow for contributors and learners.
Project
Technologies: SAS, .sas7bdat, PDF, HTML, SAS Viya
Built a supervised-learning workflow for the Titanic dataset using SAS and supporting reporting assets.
Produced a repeatable analysis pipeline and clearer reporting for the results.
Project
Technologies: Next.js, React, Tailwind CSS, Node.js, TypeScript, Supabase, Vercel
Built a collaborative schema editor with real-time interaction and AI-assisted suggestions.
Supported iterative schema work with a more guided editing experience.