• Collaborated cross-functionally with design, product, and engineering teams to architect and deploy 3 major features and high-visibility enhancements for Apple News & Stocks, ensuring integration and alignment with Apple's rigorous UI/UX standards.
• Modularized app architecture within a large-scale production iOS codebase to optimize build efficiency and debugging precision; significantly bolstered system reliability and performance by decoupling legacy components.
• Orchestrated technical requirements with backend teams to integrate complex APIs, ensuring high-performance data synchronization and a responsive user interface for high-visibility app features.
• Spearheaded the triage and resolution of critical software defects by meticulously analyzing Radars and performing deep-dive debugging; maintained app stability through automated testing and peer code reviews.

• Exceeded performance benchmarks as a recognized "rising-star," maintaining a 100% Net Promoter Score (NPS) while consistently doubling the standard of appointment volume to significantly reduce wait times and optimize store throughput.
• Drove business growth by generating the highest volume of business leads within the Genius Bar, identifying opportunities to bridge technical support with long-term ecosystem solutions for enterprise and small business clients.
• Mentored and developed incoming Technical Specialists on best practices, technical troubleshooting workflows, and efficiency strategies to help the team meet and exceed regional performance metrics.

Georgia Institute of Technology

San Jose State University

• Architected a hybrid Retrieval-Augmented Generation (RAG) and Ranking system to provide personalized luxury watch recommendations from Rolex collections, integrating wait time with structured market data.
• Developed an end-to-end ETL pipeline to hydrate a Milvus vector database with scraped historical data and technical specifications, utilizing the BGE-m3 sentence-transformer for high-density semantic embedding and retrieval.
• Implemented an "LLM-as-a-Judge" evaluation framework to validate the quality of generated advice, ensuring natural language explanations met high-fidelity standards for accuracy and brand-aligned tone.

• Built a news aggregation app using Swift & SwiftUI that fetches real-time articles via NewsAPI.
• Integrated a Fake News Detection API powered by ML to analyze article headlines for credibility.
• Designed intuitive UI for browsing categorized sections and individual article details.

• Built an iOS app using Swift and VIPER architecture for modular, scalable development.
• Created UIKit-based UI components to dynamically display book covers and details.
• Utilized URLSession to fetch and parse JSON efficiently, supporting rapid feature expansion.