Building software that works

I'm a Computer Science Master's student at Georgia State University with a focus on applied machine learning, data pipelines, and building production web applications from end to end.

My work consistently sits at the intersection of messy data and operational clarity. I enjoy taking imperfect datasets, identifying what's actually learnable, and building systems that produce reliable, explainable results. On the web side, I care most about outcomes: interfaces that feel intuitive, APIs that behave predictably, and code that other developers can understand.

Across projects, my approach is consistent: understand the data-generating process, validate assumptions early, and design systems that others can reason about and extend. I'm comfortable collaborating with engineers and non-technical stakeholders, presenting results clearly, and iterating quickly when requirements change.

Currently working as a Graduate Teaching Fellow, teaching Python to students from non-technical backgrounds. Previously interned at WellStar HealthCare System handling IT infrastructure in a healthcare environment.