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Most healthcare app developers can build a form. Very few can build a HIPAA-compliant, AI-powered mental health platform that handles patient intake via voice, runs therapy session tracking, monitors mood in real time, and escalates crisis alerts — all from a single codebase deployed on Azure. I've done exactly that. Working with a US-based surgeon, I architected and delivered a full-stack mental health platform from the ground up — voice AI intake via Twilio IVR, AI chatbot with mood tracking, therapy session management, medical scribe (voice-to-text), patient alerts and suggestions, and a full mobile and web experience. The platform launched in the US and now serves 1,000+ patients with 4,000+ registrations. That's what I build — not prototypes, not MVPs held together with shortcuts. Production systems that handle real patients, real clinical data, and real compliance requirements. WHAT I BUILD FOR HEALTHCARE → Mental Health Platforms — End-to-end therapy apps: patient intake, mood tracking, session management, crisis alerts, and AI-driven suggestions → Voice AI & IVR — Twilio IVR, voice-to-text, AI voice intake, and real-time transcription using Azure Speech and medical scribe workflows → AI Chatbots for Clinical Use — HIPAA-compliant chatbots for patient intake, symptom collection, mood check-ins, and escalation triggers → Telehealth & Therapy Session Tools — Video consultations, session notes, treatment tracking, and provider dashboards → HIPAA-Compliant Azure SaaS — Secure, auditable healthcare platforms built on Azure App Services, SQL Database, Key Vault, and RBAC → EHR Integration — Epic and AthenaHealth API integrations, HL7/FHIR data pipelines, and patient record sync → Mobile & Web — React Native mobile apps + Next.js/Blazor web platforms — one codebase, consistent clinical experience PROVEN RESULTS (not estimates) → Mental Health Platform (US) — 1,000+ patients served, 4,000+ registrations, voice AI intake, mood tracking, AI chatbot, crisis alerts, medical scribe — live in production → Clinic Management SaaS — 3,000+ patient check-ins/month across 20+ clinic locations — real-time digital queue, SMS alerts, multi-site ops — 3-year engagement, $76K+ → Medical Document Intelligence — Azure AI Search for clinical records; document retrieval from hours to minutes → RAG Clinical Data Pipeline — Automated clinical reporting replacing multi-day manual process with same-day automated output WHY HEALTHCARE CLIENTS STAY FOR YEARS Healthcare apps fail for one of three reasons: they're not built to clinical workflow, they're not HIPAA-compliant by architecture, or they fall apart when the patient volume scales. I design for all three from day one. HIPAA compliance isn't a checkbox I add at the end — it's in the data model, the API design, the Azure configuration, and the audit logging. Clinical workflows aren't assumed — they're mapped before a single line of code is written. I hold 5 Microsoft Azure certifications (AZ-900, AZ-204, AZ-104, AZ-305, AZ-400). I've integrated with Epic and AthenaHealth. I've built voice AI intake with Twilio. I've shipped mobile and web healthcare apps to real US patients. My clients don't come back because I'm available. They come back because what I built is still running — and still growing. MY HEALTHCARE STACK Backend: ASP.NET Core · C# · .NET 8 · Blazor · Node.js · Entity Framework Azure: App Services · Functions · Azure Speech · Cognitive Services · OpenAI · AI Search · Blob · Key Vault · SQL Database Voice AI: Twilio IVR · Voice-to-Text · Medical Scribe · Real-Time Transcription AI / Chatbot: Azure OpenAI · LangChain · RAG Pipelines · NLP · Mood Analytics Mobile & Web: React Native · Next.js · Blazor · Tailwind CSS EHR / Interoperability: Epic API · AthenaHealth API · HL7 · FHIR Compliance: HIPAA-compliant architecture · Azure RBAC · Audit logging · Secure API gateways DevOps: Azure DevOps · GitHub Actions · Docker · CI/CD Pipelines MY PROCESS → Step 1: Map the clinical workflow — patient journey, provider needs, compliance requirements → Step 2: Design HIPAA-compliant Azure architecture — security, audit, and data model built in from the start → Step 3: Build mobile and web in parallel — consistent experience across all patient touchpoints → Step 4: Integrate AI features — voice intake, chatbot, mood tracking, medical scribe — incrementally and testably → Step 5: Connect to EHR systems (Epic, AthenaHealth, FHIR) where required → Step 6: Deploy with CI/CD, monitoring, and full documentation — then stay available as the platform grows IS THIS YOU? → You're building a mental health or clinical app and need a developer who understands both the tech and the clinical workflow → You need HIPAA compliance built in — not bolted on after launch → You want voice AI, chatbot, or medical scribe features and need someone who has shipped these in production → You need mobile and web — and don't want two separate teams