Diego Andres Ortega Jr

A 100% local AI study assistant that runs real LLMs directly in the browser with WebGPU. It is built for students first (subjects + quiz flow) with spoken-language practice as an option.

• Steam-style hardware check — detects GPU, RAM, and recommends the best model for their device.
• Subject mode: math, biology, chemistry, physics, history, English, CS, economics, psychology, and study skills.
• Language mode: 12 spoken languages, with token-by-token local generation and cached model downloads.

Trained and evaluated models to predict churn. Focused on clean feature engineering, calibration, and interpretability to communicate results.

• Compared logistic regression, random forest, and gradient boosting.
• Reported precision/recall, ROC-AUC, and confusion matrix.
• Built Flask API with interactive web interface for predictions.

A full ground-up rebuild of the Task Tracker into a scheduling-first productivity app with reminders, calendar integration, dark mode, 8-language support, and a mobile-friendly progressive disclosure UI.

• Added scheduling, deadlines, browser notifications, and configurable reminders per task.
• Added dual calendar export: Google Calendar (web) and device calendar via ICS / native share sheet.
• Added dark mode, 8-language support with auto-detection, and full mobile responsiveness.

A UX-focused reimagining of a digital game storefront inspired by Steam, built to improve discovery, readability, and purchasing flow for everyday users.

• Redesigned storefront information hierarchy for faster browsing and decision making.
• Focused on cleaner category navigation and stronger featured/recommended content blocks.
• Built with a usability-first mindset informed by real gamer shopping behavior.

A simplified video platform concept focused on improving watch experience, creator visibility, and content discovery through clearer interaction patterns.

• Explores cleaner watch-page layouts with stronger focus on video + contextual controls.
• Tests improved discovery surfaces for trending, related, and personalized recommendations.
• Prioritizes speed, clarity, and reduced visual clutter in high-scroll interfaces.

A redesigned shopping platform concept centered on better product-page clarity, smarter comparison flows, and a smoother checkout experience.

• Refines product page structure to make specs, reviews, and value props easier to scan.
• Improves cart and checkout steps to reduce hesitation and abandonment points.
• Builds toward a cleaner end-to-end shopping flow with stronger user trust cues.