Mobile App
MiClass
Mobile app with auth, secure storage, and AI document workflows
Built an Expo mobile app with secure storage, Firebase-backed flows, AI endpoint config, and operational safeguards like version gating.
Problem
Mobile learning and document workflows need secure storage, auth, and reliable backend-connected content handling.
Outcome
Shows mobile engineering breadth, secure integration handling, and AI-enabled application thinking beyond web-only work.
Approach and Solution
Built an Expo/React Native application with authentication, secure local storage, Firebase-backed data, and AI/document processing pathways.
Needed mobile-native flows, version control safeguards, AI endpoint support, and document/PDF processing routes.
Architecture Notes
Expo app with auth, secure storage, Firebase database managers, AI endpoint configuration, document processing routing, and operational version-lock logic.
Security: Version gating and secure local storage support safer rollout control and sensitive state handling.
Performance: Focused on shipping production-minded mobile workflows with operational safeguards.
Lessons and Next Improvements
Mobile apps become much more complex when auth, local storage, backend sync, and content processing all intersect.
Improve analytics, publish clearer ownership/role context, and add public proof/screenshots if available.
Outcome Metrics and Signals
crash_free_sessions
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% · 30d · mobile analytics
documents_processed
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count · monthly · app database
Media and Visual Proof
Related Build Notes
Build in Public
Why I'm building in public as an AI automation engineer
Building in public turns private experiments into visible proof of execution, communication, and technical growth.
AI Automation Engineer
What I look for when designing automation that actually helps a business
Good automation removes bottlenecks and failure points while keeping humans in control of key decisions.
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