RSA Team

Portfolio

Projects built for operations, healthcare, and integrations

Selected work from RSA Team highlighting custom platforms, management systems, and automated exchange processes.

Project types

Products and platforms

Internal systems, automation services, and client-facing software products.

Domains

Healthcare, AI, data

Work shaped by integration-heavy workflows and operational requirements.

Delivery focus

Useful outcomes

Security, maintainability, and measurable operational improvements.

All projects

01/04Healthcare

EHR-X

Cloud-Native EHR Platform

Scalable and secure FHIR-compliant health data management with unified gateway access, validation services, and observability.

Standard
FHIR R4
Auth
OAuth2/OIDC
Deploy
Docker-ready
  • OAuth2/OIDC authentication via Keycloak
  • FHIR R4 compliance with HAPI FHIR
  • Microservices architecture with Spring Cloud and API Gateway
  • Event-driven synchronization and enterprise observability stack
Java 21Spring Boot 3.2Spring CloudHAPI FHIR R4KeycloakDockerGrafana
02/04Digital Health

EHR-X-PHR

Patient Mobile App

A standalone patient-facing mobile product derived from EHR-X, focused on Personal Health Record experiences.

Platform
Flutter
Audience
Patients
Status
Standalone
  • Flutter-based patient-facing mobile application
  • Personal Health Record (PHR) product direction
  • Originally evolved from the EHR-X ecosystem
  • Now maintained as an independent standalone project
FlutterMobilePHRHealthcare UXStandalone AppFHIRHYBRID
03/04Healthcare AI

FINA

FHIR Intelligent Narrative Agent

Automated narrative generation with audit trails, review workflow, and strong controls for healthcare interoperability use cases.

Resources
163 FHIR
Pipeline
11-step
Tests
449
  • Universal support for FHIR resources with structured generation pipeline
  • Strict data integrity, XHTML sanitization, and complete audit trail
  • Human-in-the-loop review UI with CLI and REST API workflows
  • Observability stack with metrics, logs, and distributed tracing
PythonFastAPIFHIROpenAI/LLMsCeleryRedisGrafanaAI
04/04NLP / Data

Balkan NLP

Dataset Ecosystem

A transparent roadmap and reproducible pipeline structure for publishing high-quality sr/bs/hr datasets on Hugging Face.

Languages
sr/bs/hr
Phases
4
Publishing
HF Datasets
  • Four-phase dataset roadmap from foundation to research-grade datasets
  • Shared pipeline with separate Hugging Face dataset publishing strategy
  • Methodology-driven processing for cleaning, normalization, and deduplication
  • Reproducible dataset-oriented project structure and documentation
PythonNLP PipelinesHugging FaceYAML ConfigsData Processing

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