• Designed and developed a bilingual (English–Spanish) children’s Math Quiz mobile application using Flutter, focused on accessibility, engagement, and inclusive learning experiences. Implemented seamless real-time language switching to support diverse learners and improve usability.

• Engineered backend optimizations using Python-based intelligent caching mechanisms, reducing external API latency by 45% and significantly improving app responsiveness and scalability.

• Conducted applied machine learning research leveraging Transformer-based models to dynamically generate, evaluate, and fine-tune over 1,000+ adaptive question sets. Built a personalization pipeline that adjusts difficulty levels in real time based on learner performance and behavioral patterns.

Integrated data-driven learning analytics to enhance content adaptivity, enabling personalized educational pathways and measurable improvement in student engagement.

• Collaborated across product and research workflows to bridge AI-driven content generation with production-ready mobile development, ensuring both pedagogical effectiveness and engineering robustness.