Intelligent care with privacy-first AI.

Architecting a secure, AI-powered clinic management platform for therapists, utilizing hybrid LLMs and a military-grade privacy pipeline.

Hybrid Intelligence

Hybrid Intelligence Engine

Lumi isn't just a wrapper. We engineered a dual-model system. Gemini handles broad reasoning and complex summarization, while a lightweight Custom LLM, fine-tuned on anonymized clinical datasets, handles domain-specific terminology and structured data extraction.

›Context-Aware Routing: An intelligent router decides which model to query based on request complexity and cost.
›Next.js + Node.js: A high-performance, type-safe full-stack environment using Prisma ORM for seamless data compatibility.

Hybrid Model Topology

Therapist Session Notes (Raw Audio/Text)

PII Redaction LayerNER / Regex

Gemini Pro

Complex Reasoning & Insight Generation

Custom LLM

Fine-tuned on Clinical Methodology

HIPAA Compliance

Zero-Trust Privacy Pipeline

Patient trust is paramount. We implemented a rigorous anonymization pipeline that ensures no Personally Identifiable Information (PII) ever reaches the LLM providers.

Raw Input

Session Transcript

PII Scrubbing

NER + Pattern Match

LLM Processing

Anonymized Context

● Data at Rest: AES-256 Encryption ● Data in Transit: TLS 1.3

Cloud Infrastructure

High Availability & Cost Efficiency

Deployed on AWS using Terraform for reproducible infrastructure. The architecture balances reliability with startup-friendly costs.

Multi-AZ ECS Fargate

Compute workload distributed across 3 Availability Zones for fault tolerance. Utilizing Fargate Spot integration for 70% cost reduction on non-critical tasks.

Aurora Serverless V2

PostgreSQL database that instantly scales compute capacity to match demand, dropping to minimum ACUs during off-hours to save costs.

IaC & Pipeline

Terraform Plan

Infrastructure changes visualized

CI/CD (GitHub Actions)

Lint → Test → Build Container

Terraform Apply

Atomic state update & Rollout

Product Engineering

Built for Focus & Scale

We designed Lumi to disappear. The interface is intentionally minimalist to reduce cognitive load for therapists during sessions, while the backend is architected for massive concurrent throughput.

Clinical “Zen” UI

›Dark Mode First: Reduces eye strain during late-night charting sessions.
›Focus States: Input fields enlarge and dim background noise when active.
›WCAG 2.1 AA: High contrast ratios for accessibility compliance.

Frontend Engineering

›React 18 + Vite: Instant HMR and concurrent rendering features.
›Tailwind CSS: Atomic utility classes for a design system that scales.
›Real-time State: Optimistic UI updates for instant interaction feedback.

Backend Architecture

›Node.js Microservices: Decoupled services for auth, transcription, and LLM via gRPC.
›Event-Driven: RabbitMQ for asynchronous processing of long-running AI tasks.
›Prisma ORM: Type-safe database access with automated migrations.

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