Daniel – Python, React, Typescript

Technology consultancy specializing in cloud engineering, software development, GIS, AI, and cybersecurity solutions.

• Developed production-grade geospatial systems combining GIS, cloud engineering, and applied AI;
• Integrated machine learning and AI capabilities into complex geospatial data workflows;
• Automated geospatial analysis and transformed raw location data into actionable insights using cloud-native infrastructure.

IoT and connected-vehicle technology company providing cloud-based telematics, fleet management, and vehicle monitoring solutions for automotive and enterprise customers.

• Designed and implemented geofencing functionality for a SaaS platform serving road freight clients;
• Developed and integrated features across the full technology stack, aligned with business requirements and product timelines;
• Maintained and optimized the telematics platform across database, backend, API, and frontend layers.

Australian telecommunications provider delivering enterprise-grade fibre, network, cloud, and connectivity solutions.

• Led the full-stack GIS team to meet business requirements for a GIS infrastructure used by 200+ daily users;
• Architected, developed, and maintained the GIS infrastructure using open-source technologies;
• Designed and implemented a topological database model and migrated over 5 million records from two legacy systems to a unified platform using Python scripts;
• Developed and optimised SQL and PL/pgSQL functions, stored procedures, and views to ensure data consistency across CRUD operations;
• Built and maintained the GIS web client using Node.js, React, Google Maps API, Leaflet, Bootstrap, and Material UI;
• Managed and improved the mobile app developed in React for field workers;
• Enhanced the GIS REST API written in Go;
• Developed a real-time severe weather warning app using the Bureau of Meteorology API and automated asset impact reports;
• Built a health check application using Apache JMeter and Python to monitor and alert on GIS infrastructure performance.

Geospatial technology consultancy specializing in GIS solutions, spatial data processing, Earth observation, and AI/ML-powered geospatial applications.

• Developed geospatial software solutions for the agricultural industry;
• Built spatial data solutions with PostGIS, covering vector and raster data, topology, routing, and geocoding;
• Processed and analyzed Sentinel satellite data for remote sensing applications;
• Provided technical coaching and knowledge sharing within the team;
• Contributed to technical content creation, blogging, and public relations activities.