I've built machine learning and full-stack applications, including an AI Image Detector that achieved 95% test accuracy and an NYC Safety Indicator trained on 260,000+ NYPD crime records.
Through CUNY Tech Prep, I engineered two end-to-end ML projects using Python, Pandas, NumPy, Scikit-learn, and SQL, applying EDA, feature engineering, statistical modeling, visualization, and presenting findings at Demo Night. In Google's Software Engineering Program, I strengthened my system design and software engineering fundamentals through a 10-week mentorship.
I also built an Angular and Node.js job tracker with CRUD workflows, real-time filtering, a stats dashboard, and a responsive SCSS design system.
