Third Eye Health

Built a comprehensive patient lifecycle management system covering diagnoses, symptoms, remedy prescriptions, pharmaceutical tracking, vital signs, and adverse reaction monitoring. Every record is automatically tracked with full audit trails (who created, modified, or deleted it and when).

Designed and implemented an extensive botanical and pharmacological database with a full biological classification hierarchy, chemical composition tracking, traditional medicine categorization, and remedy administration methods. The data model supports complex many-to-many relationships across the domain.

Designed and built a Retrieval-Augmented Generation (RAG) pipeline that powers an AI chatbot. The system generates vector embeddings locally using ONNX Runtime, performs semantic similarity search to find relevant knowledge base articles, and then uses an LLM to generate contextual responses. Supports both cloud-based and local model providers for flexibility.

Implemented a multi-tenant architecture where organizations serve as tenants. Users are assigned roles within organizations, enabling fine-grained access control. The system supports geolocation-based discovery, proximity search, and map viewport queries for finding nearby organizations.

Built a cross-platform mobile application with React Native and Expo featuring interactive maps for organization discovery, secure JWT-based authentication with encrypted storage, server state management with caching, push notifications, image capture, and file-based routing with tab and stack navigation.

Implemented enterprise-grade authentication using JWT bearer tokens with ASP.NET Identity. Features include login/logout, email-based password reset, custom middleware for user context extraction, and policy-based role authorization across the platform.

Built a knowledge management system for storing and organizing research articles and reference materials. Supports file and image attachments, categorization, filtered search, and serves as the knowledge source for the AI chatbot's retrieval pipeline.

Established a comprehensive testing infrastructure with dedicated test projects covering every architectural layer — from data access and business logic through services and AI integration. Built custom mock extensions and test data generators to support isolated, repeatable tests.