Firebase

Dual-Access Research Application Authentication: Implemented a comprehensive Firebase Authentication system at TAMU x Soft Interaction Lab that creates distinct user experiences based on authentication status. The challenge involved designing an access control system where authenticated workers (researchers, developers, testers) can sign in to access full application functionality including testing capabilities, development tools, and modification permissions, while unauthenticated users experience the application from a customer perspective with appropriate limitations. This implementation required careful consideration of user roles, permission boundaries, and seamless transitions between different access levels while maintaining security and usability.

Medical Training Application Security: Successfully integrated Firebase Authentication into conversational AI tools designed for medical training applications serving 500+ SANE nurses. The challenge involved implementing secure authentication that meets the requirements of medical research environments while maintaining ease of use for healthcare professionals. The solution required understanding the balance between accessibility for medical professionals and security requirements for research applications handling sensitive training data.

Research Development Workflow Support: Created authentication workflows that support the unique needs of research environments where the same application serves multiple purposes: development testing, research validation, and end-user functionality. The Firebase implementation enables seamless switching between developer/researcher mode and customer simulation mode, providing essential flexibility for research application development and testing processes.