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Qaisar Khan
Developed an enterprise-level healthcare SaaS platform designed to centralize medicine-related queries, academic sessions, research activities, and assignment tracking for institutions including the University of Princeton and other organizations. Built the frontend using React.js, Redux Toolkit, and Tailwind CSS, while developing scalable backend services with Node.js and Express.js. Implemented AI-powered search and retrieval capabilities using a RAG vector database and Elasticsearch. Added WebKit-based text-to-speech and speech-to-text features to improve user accessibility and interaction. Designed secure authentication and authorization workflows using OAuth 2.0, role-based access control, and attribute-based access control. Applied repository pattern architecture together with DRY and separation-of-concerns principles to improve maintainability, modularity, and code quality. Optimized MSSQL data models, reduced circular dependencies, integrated Redis for performance improvements, and supported deployment and delivery workflows through Azure DevOps.