MindMitra

A shipped iOS cognitive-wellness app (formerly CognizenX) needed a reliability-focused v2, Android support, server-bound AI generation, and analytics instrumentation for research-informed cognitive monitoring and spaced repetition.

Take over a live v1 product under its prior CognizenX branding, refactor architecture for a backend-first AI stack, expand to Android, and support neuroscience research workflows without disrupting existing users.

• Existing users and shipped iOS codebase to refactor without breaking core quiz flows
• Early deployment scope—not a large-scale production rollout
• Cross-platform release differences between iOS (TestFlight) and Android (Play internal track)
• App Store listing still published under the prior CognizenX name during the MindMitra rebrand

• Took technical ownership of a shipped React Native cognitive-wellness app, leading a three-engineer team in moving AI and data workflows from the mobile client to an independently deployed backend while delivering updated iOS and Android builds.
• Architected and deployed a 25+ endpoint Node.js/Express API on Vercel with MongoDB Atlas, centralizing authentication, AI quiz content generation, personalized learning state, and quiz performance telemetry.
• Built an automated demand-aware GPT-4 content pipeline that identifies question-bank gaps across 43 subdomains and applies embedding-based semantic deduplication before persistence.
• Migrated AI operations server-side after exposed client-side credentials; added session authentication, Joi validation, tiered rate limits, and 57 automated tests across 18 Jest/Supertest suites.

• Moved client-side AI generation behind a secured Node.js/Express service instead of on-device calls
• Kept the quiz endpoint public while protecting admin routes with session tokens and Joi validation
• Invested in cache-first MongoDB reuse, tiered rate limits, and Jest/Supertest coverage before expanding v3 worker architecture

• MongoDB-backed question/explanation reuse to reduce redundant OpenAI calls
• Session authentication, Joi validation, and tiered rate limits on backend routes
• 57 automated tests across 18 Jest/Supertest suites to preserve backward compatibility through refactors

• 57 automated tests across 18 Jest/Supertest suites

Delivered MindMitra v2 on iOS and Android with a backend-first quiz pipeline, secured AI generation, MongoDB caching, and research-oriented telemetry; v3 in progress with BullMQ batch workers and spaced-repetition analytics.

• Early deployment—not a large-scale production rollout
• iOS App Store listing remains under the prior CognizenX URL during rebrand

• Complete MindMitra rebrand across app store listings
• Ship v3 batch generation and per-question progress tracking for spaced-repetition analytics

• React Native
• Node.js
• Express
• MongoDB Atlas
• GPT-4
• BullMQ
• Redis
• Expo EAS
• Jest
• Supertest