Computer Science and Statistics student at Minerva University with hands-on experience in AI/ML, mobile development, and fintech. CalHacks winner and AI4ALL Ignite Fellow with a track record in building production-ready applications. Currently working as a Student Consultant and Software Developer with Google x Minerva and previously with Glimpse, developing innovative solutions for financial literacy and AI-powered networking.

📍 San Francisco, CA | 🎓 Graduating May 2027

• 🥇 CalHacks Winner - Best Use of Zepp Health Smartwatch Award for caffeine monitoring system
• 🎓 AI4ALL Ignite Fellow (2024-2025) - Prestigious AI diversity and inclusion program
• 💼 Inside HRT Scholar (2024) - High-frequency trading and quantitative finance program
• 👥 Multiple Fellowship Programs - Code2040, Colorstack, RTC, BBM Fellow

CalHacks Winner - Best Use of Zepp Health Smartwatch Award

Machine Learning Approach to Fair Lending

• Built Random Forest and XGBoost models on 36,457 records
• Reduced false positives by 18% with F1-weighted score of 0.773 ± 0.023
• Engineered 20+ features with advanced imputation and encoding techniques
• Identified employment (24.5%) and income (20.1%) as top risk predictors using SHAP

Google x Minerva Collaboration

• Flutter mobile app with custom widgets and Provider state management
• Cross-platform iOS/Android deployment with Firebase backend

Glimpse x Minerva Project

• React/TypeScript platform with Google Gemini API integration
• Vector-based similarity algorithms for intelligent matching
• Responsive chat interface with TailwindCSS and Shadcn UI

• Fintech Applications - Building financial literacy tools with Google x Minerva
• Mobile Development - Creating cross-platform Flutter applications
• Advanced Machine Learning - Exploring deep learning techniques and neural networks
• Data Science Applications - Applying statistical methods to real-world problems

I'm always interested in collaborating on projects involving AI/ML, backend, fintech, or mobile development. Feel free to reach out!