Sandro Manteiga
Building Digital Experiences.

DIRTER is the critical infrastructure of the Xunta de Galicia designed to optimize emergency and logistics services through geocoding. My work focuses primarily on the DIRTER_Colabora subproject: developing the private web application (Angular) for local entities and municipalities to manage, edit, and synchronize their own street maps, addresses, and points of interest with the central database (Oracle 19c + SDE). I integrate cartographic viewers based on corporate ArcGIS tools, providing municipalities with a precise spatial editing environment that ensures the quality and governance of territorial data across the entire region.

As part of the Full-Stack development team, I participated in building this scalable platform based on microservices and Docker containers. My activity focused on developing analytical dashboards for leak monitoring and implementing the business logic for the field technicians' and office administrators' workflow. The project complies with ISO 27001 industrial cybersecurity standards, ensuring interoperability with complex corporate systems.

This project, part of the Galicia RDP and co-financed by the EAFRD fund, involved developing algorithmic techniques and procedures to improve agricultural and forestry structures. My involvement focused on frontend development and a demonstrator application with an advanced cartographic viewer, designed for real-time monitoring and validation of algorithm-generated results. I also collaborated on optimizing the spatial database and backend to ensure the technical viability of the solutions. The success of the system allowed me to represent the team at JIIDE 2025, where I presented the milestones achieved in the digitalization of these processes.

Within the DIFACNA project framework, I collaborated on developing this prototype for the integrated management and predictive modeling of naval shipyards. My work focused on implementing a web interface capable of consuming and unifying Navantia Gateway APIs, validating behavior and management models in an experimental pilot test. The system allows digital twin monitoring through high-performance dashboards, transforming complex industrial process data into key visual information for strategic decision-making at the shipyard.

As part of the development team, my work focused on creating and optimizing the platform's central cartographic viewer, designed for the integrated management of water and sanitation assets. I participated in implementing tools for digitalizing complex geometries (points, lines, and polygons) and developing the module for importing precise data captured via GPS stations. Cross-functionally, I collaborated on integrating advanced 3D viewers using technologies like MapLibre and OpenLayers, improving network visualization and user experience across web and mobile environments.

This industrial management software stands out for its extraordinary robustness, having operated uninterruptedly for over a decade in a high-demand environment. The system centralizes total factory traceability, including truck weighing and entry, manufacturing control, and finished product shipping. My intervention focused on updating the operational reporting module, working on a solid architecture based on Java 6. Collaborating on the maintenance of this system alongside the original project leads has been an engineering lesson in building enduring, reliable, and critical software for the industrial supply chain.

MapFlora represents the start of my journey at Avansig and is a project in which I continue to actively participate. As a core member of the development team, I was responsible for creating most of the interactive viewer, fully implementing the plot creation and editing tools. A key technical milestone was the direct integration with the Cadastre (Catastro), significantly facilitating the digitalization and management of green spaces for the end user. Additionally, I collaborated on R&D+i features such as plant growth simulation using predictive algorithms and meteorological data integration for customized care recommendations. The system supports sustainable forest management, positioning technology as an ally against climate change.

GIS Toolbox is a browser-native spatial processing suite built on OpenLayers and Proj4js. It supports importing GeoJSON, Shapefiles (.zip), KML and WKT with drag & drop. Multi-layer management with custom colors and opacity, 13+ offline EPSG codes (plus live custom EPSG lookup), QGIS-style inline measurement tool, an attribute table with sorting and filtering, per-layer geometry statistics (area, length, bounding box), multi-format export (GeoJSON/KML/WKT), and a live coordinate bar. Zero server-side processing.

Development of a centralized spatial hub that unifies various prior proofs of concept into a single consolidated platform. The system implements real-time routing algorithms backed by services like OSRM, internally managing route topology and fallback behaviors in the absence of a road network (pure off-road). The interface was strictly designed under a Mobile-First philosophy, utilizing dynamic panels and preventing touch interaction collisions with the OpenLayers canvas. This architecture not only radically improves the maintainability of the codebase but also provides a professional, reactive cartographic navigation environment ready for future operational expansions.

Development of a modular UI architecture focused on Developer Experience (DX) and performance. Using React, TypeScript, and Tailwind CSS based on Shadcn/UI, I built a scalable design system that ensures compliance with accessibility standards (WCAG). This technical approach allows for the rapid deployment of complex corporate interfaces, ensuring optimal DOM rendering and an unshakeable visual identity across multiple applications.

This project originated from my Bachelor's Thesis (graded 9.5/10), which aimed to bridge the gap between web viewers and classic desktop GIS software (such as QGIS or ArcGIS). I designed and implemented a suite of advanced tools for vector manipulation directly in the browser, including polygon splitting and merging, as well as complex boolean operations (intersection, difference) using TypeScript and the JTS library. The result is a geospatial engine highly optimized for real-time topological analysis.

Zeltabit represents my vision of end-to-end engineering. What began as a high-performance computing (HPC) hardware lab is now the command center for professional WebGIS suites. This evolution allows for bridging raw power with premium user interfaces, serving as the core for projects like GIS Lab and GIS Toolbox.