Working with AI for sustainability, industrial systems, and public infrastructure.
View ventures →A focus on data integrity
I work on AI systems in contexts where reliability matters. That can mean tracing a sustainability disclosure back to its exact source, or validating perception performance in a safety-critical scenario. Across both, the aim is the same: turning complex data into outputs that people can inspect, verify, and use.
Lumilogic AB
Problem
CSRD and SFDR reporting depends on large amounts of unstructured sustainability data, often with limited traceability.
Solution
Lumilogic develops AI systems for structuring, analysing, and verifying sustainability-related information, with traceability back to source text.
Asymptotic AI
Problem
Industrial and safety-critical organisations need custom AI and data systems, but building them from scratch is slow and expensive.
Solution
Asymptotic builds custom AI and data systems for industrial clients, using reusable tooling — including SnapXS — for annotation, validation, and deployment.
CEO, Lumilogic AB & Asymptotic AI
Leading AI work across sustainability analysis, industrial systems, and public-sector applications.
Deputy CEO, Aixia AB
Co-founded Aixia as a joint venture with CGit, and led technical and commercial work in applied AI before CGit acquired the company in 2022.
Reference ↗Built AIRI at Zenseact (formerly Zenuity)
Developed AI-ready infrastructure for a 50-person ML team at Zenseact (formerly Zenuity), improving GPU utilisation from under 50% to near full capacity on datasets in the hundreds of terabytes.
Reference ↗Led AI+Kolada pre-study for SKR
Led a pre-study on AI for municipal decision-making with SKR, delivering analysis and tool concepts for Kolada's 6,000+ municipal indicators.
MSc, Chalmers University of Technology
Systems, Control, and Mechatronics. Thesis: Monocular Simultaneous Localisation and Mapping for Road Vehicles.
Stena Recycling
Specified and helped set up ML lab infrastructure spanning cameras, edge compute, storage, and GPU systems.
EVIDENT
Virtual validation and verification for ADAS and autonomous-driving features in a Vinnova-funded project with partners including AstaZero, Zeekr, Einride, RISE, and VTI.
City of Gothenburg
Worked on multimodal sensing and AI-based decision support for accessibility, mobility, and digital twin use cases with the City of Gothenburg.
Research Highlights
Research with direct relevance to applied systems work.
climateBUG
NLP framework for analysing bank reporting through a climate lens, built on a corpus of roughly 1.1 million statements.
Fast LIDAR Road Detection
Real-time road segmentation for autonomous driving using fully convolutional neural networks — 300+ citations.
Eigen-Filters
Making CNNs dramatically more efficient — directly applicable to edge deployment in manufacturing.
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Advisory & Consulting
Available for advisory and technical collaboration in sustainability, industrial AI, and public-sector applications.
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