Led full-stack development, integrating Google Single Sign-On, Maps API, and Stripe payments. Developed UI from Figma mockups, built Firebase chat, and managed Supabase. Onboarded 150+ users and 10+ chefs in Chicago, driving recurring customer growth and planned expansion to LA and New York.

Developed a novel image-segmentation model for OCTA images, enhancing vessel and FAZ extraction using advanced OpenCV and SciKit-image filters. Achieved greater precision than industry standards, contributing to the OCTA Visual Analyzer (OCTAVA) software. Continuing research to train a CNN for fully automated OCTA image segmentation.

Developed a React website, an Android app, and an iOS app for American Veterans for Equal Rights, allowing veterans to vlog their stories and upload them to an integrated database available to the public.

Analyzed Netflix's user experience by visualizing genre-rating correlations using numpy, seaborn, and matplotlib. Additionally, built a Machine Learning classifier with Sklearn's decision tree, achieving 87% accuracy in distinguishing between 'positive' and 'negative' texts.

Co-led research to build and train a CNN for detecting cancerous breast MRIs, achieving 97.25% accuracy, aiding early cancer diagnosis. Published findings in the Journal of Emerging Investigators, authoring key sections of the paper.