Platforms spanning water utilities, GeoAI, BI dashboards, and enterprise web applications — plus how they're architected, built, and where the experience behind them comes from.
An enterprise web platform for water utilities to manage customer accounts, billing, and network assets on a live GIS map — with a BI dashboard surfacing KPIs for operations managers.
A deep-learning pipeline that classifies land cover from Sentinel-2 imagery and flags year-over-year change for environmental monitoring — deployed as a FastAPI inference service.
A spatial BI dashboard combining elevation, rainfall, and drainage data to score flood risk by neighbourhood — designed for city planners who need to act on evidence, not gut feel.
An offline-first Flutter app for field teams to capture geotagged survey data and sync to a central PostGIS store on reconnect — cutting field-to-database time from days to minutes.
A role-based enterprise web application for tracking physical assets across sites, with map-based inventory, automated maintenance scheduling, and a BI dashboard for operations leads.
A platform ingesting IoT sensor streams and satellite data to power smart-city BI dashboards for traffic and air-quality monitoring — sub-minute latency across 200+ sensor nodes.
The shape most of my platforms take, from request to model output.
The same Agile-grounded cycle for a weekend script or an enterprise platform.
Design and deliver websites, web applications, BI dashboards, and GIS-backed platforms for utilities and enterprise clients — from database schema to production deployment.
Built ML pipelines on satellite imagery, REST APIs consumed by web dashboards, and contributed to Agile sprint planning and cross-functional collaboration.
Investigated land-use change detection methods as part of Master's research; co-authored internal technical reports on spatial analytics methodologies.
Completed interactive courses in Python, Java, JavaScript, PHP, SQL, HTML and CSS out of pure curiosity. That first "Eureka!!!" never really stopped. 😎