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.

Project highlights

HealthcareCloud-Native EHR Platform01 / 05

EHR-X

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

StandardFHIR R4

AuthOAuth2/OIDC

DeployDocker-ready

Key Features

→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

Technology

Java 21Spring Boot 3.2Spring CloudHAPI FHIR R4KeycloakDockerGrafana

Healthcare AIFHIR Narrative Platform02 / 05

FHIR Intelligent Narrative Agent

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

Resources163 FHIR

Pipeline11-step

Tests449

Key Features

→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

Technology

PythonFastAPIFHIROpenAI/LLMsCeleryRedisGrafana

NLP / DataDataset Ecosystem03 / 05

Balkan NLP

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

Languagessr/bs/hr

Phases4

PublishingHF Datasets

Key Features

→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

Technology

PythonNLP PipelinesHugging FaceYAML ConfigsData Processing

Automation / AIDocument Processing Platform04 / 05

Conduit

Production-ready document ingestion and extraction pipelines with monitoring, retry logic, deduplication, and multi-source/multi-destination support.

Sources5+

Destinations3

ModeAsync

Key Features

→Multi-source ingestion: filesystem, FTP, HTTP polling, IMAP, and HTTP server uploads

→OpenAI structured-output parsing with schema-constrained JSON extraction

→Operational tooling: health checks, metrics, retries, deduplication, and admin API

→Pluggable architecture for parsers, sources, and destinations

Technology

Python 3.11+AsyncIOOpenAI Structured OutputSQLitePrometheusWebhook/FTP

Digital HealthPatient Mobile App05 / 05

EHR-X-PHR

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

PlatformFlutter

AudiencePatients

StatusStandalone

Key Features

→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

Technology

FlutterMobilePHRHealthcare UXStandalone App

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