Systyem-level Architecture Ontology
is an interactive data visualization interface that maps end-to-end (E2E) data flows alongside the underlying domain ontology, making both signal lineage and structural system relationships explicit.
Lead development of a system-level interface to navigate the Software-Defined Vehicle (SDV) paradigm, bridging the gap between embedded software and data-driven architectures within the Volvo Cars R&D.
Architected a lightweight, web-based prototype for visualizing complex embedded systems, integrating ARXML and state machine semantics across classic AUTOSAR and SOA architectures to enhance engineering workflow efficiency by 80%.
Facilitated cross-functional collaboration by translating deeply nested vehicle development data into intuitive UI solutions, reducing interaction costs by 63% and enabling data-driven decision-making for automotive developers.
This work is part of my MSc thesis, “Exploring a Design Science Approach to Visualizing Complex Automotive Software Architectures,” which is presented at the AutoUI 2026 conference.
Python
JavaScript
React
ReactFlow
Cytoscape
Node.js
Docker
Collaborators:
Siddharth Ramesh
Yuxin Liu
Renan Guarese