App Development & Machine Vision Research Intern
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Enhanced an automated cell counting Android application for HIV diagnosis/monitoring as part of UPRE (Undergraduate Research and Entrepreneurship Program), utilizing Python OpenCV to integrate algorithms and achieving a minimum 90% accuracy.
Python scripts into Java syntax for installation on Android Studio, enabling mobile application development and paving the way for smartphones to play a role in self-diagnosis.
App Development & Machine Vision Research Intern - Bio-nanotechnology and Biomaterials Lab (BNB) - New York Tech – Old Westbury, NY
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Master of Science - Information Systems (Cybersecurity Track) - Baruch College – Zicklin School of Business (2026-06)
Bachelor of Science - Computer Science - New York Institute of Technology (2025-05)