Projects & Case Studies
Explore our recent work across private cloud, AI innovation, research, and real-time data platforms — designed to meet enterprise, healthcare, and academic needs.
Cloud Infrastructure & Enterprise Solutions
Private Cloud Deployment for SMEs
Implemented secure virtualised environments for Sydney-based SMEs requiring data residency and high availability.
Hybrid Cloud Integration
Connected on-premise systems with AWS and Azure to balance cost, performance, and compliance for enterprise clients.
DevOps Automation Framework
Built CI/CD pipelines with automated testing and Git-based infrastructure for streamlined enterprise deployment.
Backup & Disaster Recovery Systems
Deployed encrypted, policy-driven backups and replication services for mission-critical applications in regulated industries.
Real-Time IoT Analytics Dashboard
Created scalable pipelines and dashboards for real-time monitoring and analysis of distributed IoT sensor data.
Health & AI Innovation
AI-Enabled Medical Imaging Prototype
Developed a secure cloud environment for testing computer-vision models on de-identified medical images. Focused on performance, encryption, and data governance.
Secure Health Data Lake for Clinical Research
Built a private data repository integrating structured and unstructured health data with FHIR-compatible APIs for hospital system interoperability.
IoT Edge Data Pipeline for Point-of-Care Devices
Designed a low-latency ingestion pipeline for clinical device data, enabling real-time monitoring and early disease detection research.
AI Model Deployment for Early Disease Prediction
Created containerised environments for secure, low-latency inference on predictive models using synthetic and anonymised datasets.
Research & Data Innovation
AI-Enabled Imaging Platform (Prototype)
Built a secure, cloud-based environment to test machine learning models using anonymised imaging datasets in research settings.
Data Lake for Research Collaboration
Developed a unified data platform for structured and unstructured data to support analytics and multi-organisation collaboration.
Edge Data Pipeline for Connected Devices
Designed low-latency analytics for IoT and field devices, enabling real-time insights across research and operational contexts.
Predictive Analytics Pilot for Early Detection
Containerised infrastructure for training and deploying early detection models using synthetic healthcare and industrial data.