Multi-tenant dialysis center management system for renal care workflows, billing, inventory, staff operations, and outcomes reporting.

An MCP server that extracts symptoms from clinical text, generates a possible differential diagnosis with treatment recommendations, and surfaces relevant PubMed literature.

A hybrid AI pipeline that extracts medical symptoms from clinical text, generates a possible diagnosis with treatment recommendations, and surfaces relevant PubMed literature — exposed as both a Streamlit web app and an MCP tool.

A production-grade, async-first Hospital Management System built with Next.js 16 and FastAPI. Features full clinical lifecycle orchestration, layered RBAC, and sub-second bedside dashboard performance.