About Me
Open-Source Business Applications · Geospatial Systems Specialist with a passion for building scalable solutions that bridge spatial data and real-world applications.
Professional Journey
I've spent over four decades working with data and technology, and it's been quite a journey. I started back in 1982 as a computer programmer, building business applications with Cobol, CICS, SQL, IMS, and DB2 databases. Those early years taught me the fundamentals of problem-solving through code—lessons that have stayed with me throughout my career.
Over the past eight years, I've focused on geospatial technology and data engineering, working to solve complex spatial data challenges. What began as traditional GIS analysis has grown into something much broader: designing full-stack geospatial systems, building cloud architectures, and creating scalable data pipelines that can handle the demands of modern applications.
What keeps me engaged is the intersection of spatial intelligence and real-world impact. I love taking raw geographic data and transforming it into actionable insights—the kind that help people make better decisions in urban planning, environmental monitoring, and business intelligence. There's something satisfying about seeing data come to life on a map and knowing it's helping someone understand their world a little better.
Academic Qualifications
MBA in Information Technology
Royal Melbourne Institute of Technology (RMIT)
1992 - 1994
Postgraduate studies in the strategic management of information technology, integrating business strategy, information systems, and organisational innovation
- Thesis: "The Management of End-User Computing"
GradDip in Management Systems
Swinburne Institute of Technology
1989 - 1991
Postgraduate training in systems-based management, integrating organisational design, information systems, quality management, and process optimisation
- Integrated systems-based projects in organisational design, information flows, and management processes
Certifications
ESRI Cartography
2025
Spatial Data Science and Applications
2024
Requirements Gathering for Secure Software Development
2024
Google Earth Engine: Applications
2022
Endangered Archaeology: Using Remote Sensing to Protect Cultural Heritage
2022
Web GIS Applications with QGIS and OpenGeo Suite
2021
Professional Focus Areas
Spatial Data Infrastructure
Designing and implementing robust spatial data systems that ensure data integrity, accessibility, and scalability across organizations.
Geospatial Automation
Developing automated workflows and tools that streamline spatial analysis, reduce manual processing, and increase operational efficiency.
Cloud-Native GIS
Architecting cloud-based geospatial solutions that leverage modern cloud services for storage, processing, and visualization at scale.
Data-Driven Insights
Transforming complex spatial data into clear, actionable insights through advanced analytics and interactive visualization.
Technical Approach
My methodology combines systematic problem-solving with pragmatic technology selection:
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Requirements-Driven Architecture
Every solution begins with a deep understanding of user needs, data characteristics, and business objectives before any technical design. -
Iterative Development
Building in cycles with continuous feedback ensures solutions evolve to meet real-world needs while maintaining technical excellence. -
Technology Agnosticism
Selecting tools based on problem requirements rather than personal preference, whether open-source or proprietary solutions. -
Sustainability & Maintainability
Designing systems with long-term maintainability, clear documentation, and knowledge transfer in mind.