Mirror Connect — Your Personal AI Companion
AI powered journaling platform designed for secure self reflection and guided growth built with end-to-end encryption, offline-first architecture, and scalable microservices for production deployment.
Overview
Mirror Connect was built to provide individuals with a secure digital space for self reflection, guided journaling, and professional psychological support. The platform bridges everyday personal journaling with structured AI driven insights, helping users build resilience, clarity, and emotional awareness. Beyond journaling, the platform enables users to connect directly with verified professionals within the ecosystem. A critical requirement of the system was ensuring complete privacy including secure communication channels where conversations remain accessible only to the two participants, with full end-to-end encryption implemented at the architectural level. The application is currently live in production across iOS and Android, serving a growing user base with a privacy first design and scalable backend infrastructure.
Tech Stack
Role & Contribution
As a Senior Software Engineer and Acting Tech Lead, leading architectural decisions across mobile, frontend, backend, and DevOps layers.
Key responsibilities included:
- Migrating the system from a monolithic structure to a microservices based architecture
- Designing an offline-first architecture for reliable journaling and secure data synchronization
- Implementing modular, package-driven Flutter architecture aligned with clean architecture principles
- Architecting secure end-to-end encrypted communication between users and professionals
- Integrating external AI APIs for personalized journaling insights
- Evaluating feature feasibility, resource allocation, and delivery timelines
- Leading a cross-functional team of 3 engineers
- Establishing version control strategies, documentation standards, and deployment workflows
- Managing CI/CD pipelines and production deployments
Technical Challenges
The most critical architectural challenge was implementing end-to-end encrypted communication within a distributed microservices environment. The system required secure key handling and message protection mechanisms that ensured complete privacy between participants while maintaining scalability and backend performance.Balancing encryption requirements, AI integration, and offline-first capabilities required careful coordination across mobile and backend layers.