Spatial Data Engineer & GeoAI Specialist — I Build AI-Powered Geospatial Platforms From Zero to Production

Leading enterprise GIS operations for local government, specializing in cadastral data automation and property information systems.

• Ensure timely integration of authoritative Vicmap datasets to support Council-wide operations
• Design, develop, and manage complex GIS data layers in ArcGIS Pro for planning, asset management, and regulatory compliance
• Drive cross-departmental collaboration by providing advanced GIS data analysis, troubleshooting, and tailored spatial insights
• Process property updates and subdivision changes via the Victorian Edit System (VES)
• Liaise with internal stakeholders and external data providers to resolve geospatial requests and continuously improve system performance
• Automated 50,000+ property record processing using FME, reducing manual validation from 8+ hours to 30 minutes

Architecting cutting-edge GeoAI platforms and spatial data engineering solutions for University of Melbourne research initiatives.

• Architect and automate end-to-end geospatial data workflows using n8n, Python, SQL, and PostGIS
• Develop and govern geospatial metadata, data catalogs, and custom schemas for data quality, interoperability, and AI model training
• Design and deploy cloud-based geospatial solutions on Google Cloud Platform with secure, scalable application hosting
• Built full-stack mapping applications (Python backend + React frontend) serving spatial features to research and industry users
• Dockerised APIs, schedulers, and UIs with Compose; implemented versioned releases via GitLab CI/CD and container registry
• Designed JSON/GeoJSON API contracts and authentication systems
• Supported high-profile projects including UEDLAB and ARUP by processing satellite and field data
• Applied unsupervised/supervised classification (K-Means, Random Forest) for change detection, land cover, and flood/sea-level overlay analysis
• Deployed IoT integration using MQTT protocols with dynamic dashboards for real-time geospatial monitoring
• Ensured data integrity through geometry correction, standardisation, and consistent styling
• Managed secrets and configs via masked CI variables and .env files with least-privilege access for service accounts
• Built UMAMI platform - 7-agent swarm architecture processing 200+ natural language spatial queries weekly

Delivered field data collection solutions and staff training for local government operations.

• Designed and automated ETL processes using Python, SQL, and PostGIS for data validation
• Consolidated and reconciled spatial datasets from multiple sources into the centralised GIS database
• Conducted quality assessment and metadata management for property and asset data
• Utilised POZI, QGIS, and AutoCAD for spatial visualisation
• Streamlined spatial data integration with POZI Connect, SynergySoft, MapInfo Pro, and MBS Premium
• Managed asset data using Assetic for accurate spatial representation
• Designed and deployed Survey123 forms for asset management and field inspections
• Trained cross-departmental teams on ESRI field collection tools (Collector, Field Maps, Survey123)

Contributed to spatial data infrastructure research, supporting the development of digital twin technologies and spatial data management frameworks.

• Conducted research on AI-Driven Generative Urban Design, enhancing urban design efficiency through spatial analysis and modelling
• Assisted in advancing spatial ontologies and improving 3D cadastre processing efficiency
• Managed integration of geospatial data into GeoServer for Digital Twin framework visualisation
• Performed geometry correction, coordinate system adjustments, and data styling for consistency
• Supported research initiatives focusing on 3D spatial data integration and urban analytics

Provided specialized GIS analysis and data support for university research projects.

• Enhanced the Envision Tomorrow Australia (ET-Oz) sustainable planning model using ArcGIS Pro and ArcGIS Online
• Applied predictive modelling and scenario planning for urban regeneration initiatives targeting net-zero emissions
• Customised spatial datasets specifically for Australian urban landscapes
• Fostered cross-sector collaboration to ensure data accuracy and actionable insights
• Conducted spatial analysis to support key research objectives and data visualization needs

Developed enterprise web mapping applications for infrastructure management and spatial analysis.

• Designed spatial databases (ESRI geodatabases, SQL Server) for infrastructure placement and risk assessment
• Conducted spatial analysis to identify strategic locations and landslide risk zones for proactive mitigation
• Integrated geospatial datasets with IoT solutions for smart metering, precision agriculture, and logistics monitoring
• Maintained GIS/3D/GPS datasets for corporate spatial intelligence
• Provided AutoCAD drafting support for geological maps and surveys
• Built full-stack web mapping platform using React, OpenLayers, and PostGIS for utility infrastructure visualization

Specialized in satellite imagery analysis and machine learning for environmental monitoring and land use classification.

• Enhanced spatial dataset accuracy through routing optimisation and geometry correction
• Led cartographic production with optimised symbology using Portal for ArcGIS
• Restructured geospatial databases and administrative processes in ArcGIS Online
• Improved organisational data compliance and operational standards
• Developed ML models using Random Forest and K-Means for automated land cover classification