Designed a push notification service using Firebase Cloud Messaging and topic messaging to inform users of significant stock price fluctuations every 30 minutes, accompanied by Gen AI and ML summarized news events, resulting in five- minute average reads for quick updates.

Integrated Firebase Authentication with SSO for user authentication and management, enabling users to personalize profiles with photos, customize notification settings, and edit recurring subscriptions from their devices, and developers to administrate users’ subscriptions from Firestore,

Developed a GPT-prompted news quantification pipeline to extract key innovation and stability events from the past months, analyzing their sentiment influence on individual stocks and providing users with comprehensive company performance profiles along with SEC filings analysis.

Led cross-functional discussions across backend, frontend, and UI teams to revise system designs based on user feedback, significantly improving app flow and user experience.

Architected and optimized backend pipelines (Django ORM, AWS RDS, Amplify, Cognito) to reduce unnecessary API calls, implementing batch requests and achieving a 30% overhead reduction, thereby lowering operational costs and enhancing scalability.

Implemented advanced AI prompt engineering (Gemini, Transformers, scikit-learn) to refine chatbot interactions, enabling natural language input and improving user engagement with personalized study plans, mentor matching, and scheduling features.

Designed a comprehensive UI/UX framework (React, Vite, Tailwind CSS), including a cohesive design system and branding elements, while conducting code reviews to maintain a clean, scalable, and maintainable codebase for long-term product growth.