I am a Computer Science student at FCCU (Vice Rector's List x4 🏆) with a minor in Data Analytics. I specialize in building multimodal deep learning systems and crunching complex datasets to find the "why" behind the "what."
- 🔭 Currently working on: Advanced Deep Learning architectures & Multimodal Medical Imaging.
- 🎓 Focus: Artificial Intelligence, Computer Vision, & Statistical Learning.
- 💼 Experience: Explored enterprise workflows at ServiceNow (Summer '25).
- ⚡ Fun fact: I can visualize your stress levels using LDA and Ridge Regression (literally, I built a model for that).
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Built a high-accuracy multimodal risk prediction system. It doesn't just look at one thing—it combines CNNs for ultrasound imaging and MLPs for clinical patient data to predict PCOS.
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A real-time system that sees how you feel. Trained on the FER-2013 dataset using CNNs and deployed as a live web app to classify human emotions instantly. 
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Automated tumor detection from MRI Scans. Implemented robust preprocessing pipelines and utilized Random Forest & KNN to identify anomalies with high precision. 
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Predicting academic burnout using math. Applied LDA, Ridge, Lasso, and Multinomial Logistic Regression to accurately classify student stress levels.
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From concept to pixel-perfect prototype. Designed a user-centric travel experience in Figma, complete with full SDLC documentation (Requirements, Design, Testing). 
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Mining the WHO & World Bank datasets to visualize global health trends. Performed deep EDA to turn raw numbers into interactive stories.
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Designed the full backend architecture for a cinema. Complex SQL queries managing Users, Showtimes, Tickets, and Payments with a rigorous ERD design. 
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