🎓 Studying Computer Science at the Georgia Institute of Technology
🧠 Interested in software engineering, ML/DL, and automation
🔬 NSF GenAI Researcher @ UNT
🧑💻 Ex-Intern @ U.S. Department of State (Diplomatic Technology)
🎓 Studying Computer Science at the Georgia Institute of Technology
🧠 Interested in software engineering, ML/DL, and automation
🔬 NSF GenAI Researcher @ UNT
🧑💻 Ex-Intern @ U.S. Department of State (Diplomatic Technology)
An in-depth comparison and building walkthrough of two sentiment classification models, ML vs. DL —a Logistic Regression and an LSTM model— both trained on the Sentiment140 dataset. The Jupyter not…
Jupyter Notebook
*CodeQuantum '26 Winner* Formula One Track Optimization & Analysis | Select or create a track, adjust as you please, and receive real-time, actionable insights.
JavaScript
a document-processing app for government and legal forms that turns dense PDFs into clear, actionable guidance. It supports PDF ingestion, structured analysis, plain-language explanations, translat…
JavaScript
A "from-scratch" 2-layer neural network for MNIST classification built in pure NumPy, featuring mini-batch gradient descent, momentum, L2 regularization, and evaluation tools — no ML libraries used.
Python 3
Reduce food waste and save money while discovering new recipes.
TypeScript