Tobias Furuholm is a senior software engineer based in Örebro, Sweden, with over 15 years of professional experience and a recent focus on Rust and Go. He consults through Treebase AB and has led technical efforts to secure software supply chains for large organizations, building cloud-native systems with Kubernetes, GraphQL and Cadence. Tobias has a strong backend pedigree demonstrated by meaningful open-source contributions—such as enhancing Docker image scanning in klar and adding robust backend features and pagination to Grafeas. Comfortable moving between hands-on engineering and technical leadership, he brings deep experience in system design, CI/CD and observability from long tenures at Atlas Copco and enterprise consulting. Colleagues value his pragmatic approach to refactoring and making complex integrations auditable and configurable.
12 years of coding experience
15 years of employment as a software developer
Master's degree, Computer Software Engineering, Master's degree, Computer Software Engineering at Chalmers University of Technology
Contributions:22 commits, 16 PRs, 130 comments in 7 months
Contributions summary:Tobias primarily contributed to the backend functionality of the Grafeas project. Their work included adding CRUD operations for projects, switching the application init to cmux based, making PKI, grafeas endpoint and PostgreSQL configurations configurable. Furthermore, they implemented pagination support across several API endpoints, and modified table names to plural form to align with database best practices. This involved modifications across Go server-side code, and database schema design.
Contributions:5 commits, 3 PRs, 5 comments in 2 months
Contributions summary:Tobias primarily focused on enhancing the functionality of the `klar` project, which integrates Clair and the Docker Registry. Their contributions include implementing support for Docker Image Manifest V2, Schema 2, and enabling the handling of SHA256 digest image addressing. Furthermore, the user refactored the code to improve how layer digests and blob sums are extracted and added unit tests for pulling Docker image manifests of various schemas. These changes directly contribute to the project's core functionality in securing and auditing Docker images.
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