Building Practical Solutions
That Engineers Actually Use

Who I Am

I’m a software developer educated at The University of South Carolina, originally from Greenville, SC, and currently based in the D.C area. I’m focused on building AI-powered internal tools that improve engineering workflows. My work sits at the intersection of software engineering, applied AI, and systems design with an emphasis on reliability, clarity, and practical application.

What I Work On

I specialize in designing and owning end-to-end solutions that remove internal blockers for teams. This includes automated test generation, documentation retrieval systems, structured data ingestion pipelines, and evaluation frameworks for AI-assisted tooling.

Rather than chasing novelty, I focus on building systems that are observable, testable, and maintainable. Tools that engineers can trust in their daily work are my priority.

Why I Do It

I care about building tools that respect how people actually work. Good software should reduce friction, surface the right information at the right time, and earn trust through consistency. When AI is involved, I focus on making its behavior understandable, controllable, and genuinely useful rather than ambiguous or disruptive.