I’m an aspiring data scientist with a background in physics, working at the intersection of ML/AI and real-world systems ⚙️.
Right now, I’m building physics-informed ML models for laser-induced plasma simulations, turning large-scale data into signals that can guide thin-film experiments.
I’ve worked across generative models like VAE and SE(3)-GNN, HPC workflows, and messy real-world datasets.
That includes training deep learning models, building end-to-end ML pipelines, and developing dashboards in Tableau and Power BI 📊.
Lately, I’ve been spending more time on statistics, probability, and efficient computing, especially GPU programming ⚡
I’ve also worked on workforce data at Central Six Alabama Works, where I cleaned and analyzed 1K+ survey records,
identified key hiring barriers using statistical tests, and built dashboards used by 30+ organizations to support decision-making
across the region.