Principal solutions architect · Technical manager · EU based
Bridging business goals and technology, from strategy to production.
Leading teams from business goal to production, while designing the architecture and writing the code: a shared picture of the business, the people and the technology, a clear direction everyone understands, and a launch that succeeds, whatever the technology.
About
From business goal to production launch.
14 years of leading teams, products and platforms from early R&D to large-scale production used by thousands of customers, across cloud architecture, data platforms and applied AI, always with a focus on real business impact. The full chain, from connected machines to the data platform and the AI on top. Educated at Chalmers University of Technology (bachelor's degree in mechatronics engineering) and Mid Sweden University (master's degree in quality management and leadership).
Freelance, for established enterprises and fast-moving startups alike: setting the strategy, designing the architecture and writing code with the team, giving everyone a shared understanding of the goal, until it runs in production and the organisation is ready for real AI adoption.
Core strengths
- Seeing the whole picture and giving the team a clear technical direction, aligned with C-level, product, R&D and engineering
- Leading teams from idea to a successful production launch as both the architect and a hands-on developer, whatever the technology
- Deep technical strength in platform engineering: Kubernetes platforms from managed EKS to self-hosted clusters, run with GitOps and infrastructure as code
- Open-source and self-hosted stacks for identity, observability, data and AI, including EU-sovereign setups
- AWS cloud architecture: serverless, EKS and distributed systems, plus hybrid, on-premise and edge
- Applied AI platforms: agents, RAG and self-hosted models with Claude, Bedrock, vLLM and Ollama
- Data engineering and knowledge graphs with Neo4j, dGraph and ArangoDB
- Hands-on development in Python, Rust and TypeScript
Industries
Work
Focus areas
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Leading teams from business goal to production
Leading the team across business and technology: a shared picture of goals, people and technology, a direction agreed with executives, and the architecture and code done side by side with the engineers through to a successful production launch. Clear trade-offs, explained in plain language to both sides.
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Kubernetes platforms and GitOps
Production Kubernetes from managed EKS to self-hosted k3s and RKE2 on Proxmox and bare metal, run with GitOps and infrastructure as code: Argo CD, Flux, Helm, Terraform and CDK, with secrets in Vault and ingress through Traefik and APISIX.
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Open-source platform services
Self-hosted building blocks instead of lock-in: Keycloak and Zitadel for identity, APISIX as API gateway, Garage for object storage, Trino, ClickHouse and Superset for analytics, Backstage as the developer portal.
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Observability and operations
Metrics, logs and traces with Prometheus, Thanos, Grafana, Loki and OpenTelemetry. Alerting and on-call that the team can actually run, and cost visibility per team and workload.
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AI platforms
Enterprise-grade AI platforms that teams across the organisation build on: agents on Bedrock AgentCore or self-hosted models on vLLM and Ollama, MCP tool gateways, RAG, and evaluation and tracing with Langfuse. Security, governance and cost control built in: owners, access rights, test gates and budgets.
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Cloud architecture
AWS specialist across serverless, EKS, IAM and networking, with Azure and GCP in multi-cloud and hybrid setups. Cloud-agnostic designs when portability or EU sovereignty matters, including moves to own infrastructure.
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Data platforms and knowledge graphs
Pipelines with Databricks, Airflow and Kafka, catalogue and lineage with OpenMetadata, fast processing with Polars and DuckDB, and enterprise and asset data modelled as graphs in Neo4j as the knowledge layer for analytics and AI.
- Kubernetes and platform
- EKS, k3s, RKE2, Helm, Argo CD, Flux, Vault, Traefik, APISIX
- Infrastructure as code
- Terraform, AWS CDK, Ansible
- Observability
- Prometheus, Grafana, Loki, OpenTelemetry
- Identity and developer platform
- Keycloak, Zitadel, Auth0, Backstage
- Cloud
- AWS, Azure, GCP
- Data
- Databricks, Neo4j, ArangoDB, PostgreSQL, ClickHouse, Trino, Airflow, Kafka, Garage, Polars, DuckDB
- AI
- Claude, Bedrock AgentCore, MCP, Langfuse, vLLM, Ollama
- Languages
- Python, Rust, TypeScript, SQL
Experience
Career
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Principal solutions architect and technical manager · Platforms, cloud, data and applied AI
Freelance
Working with leadership on digital and AI-driven transformation, and leading the teams that make it real. The work runs from early discovery with C-level stakeholders to the architecture and code with engineering and R&D teams, through to launch and day-to-day operation of live services.
Typical responsibilities
- Working with leadership on digital and AI-driven transformation: vision, roadmap, business value and the organisation needed to deliver it.
- Helping build new digital organisations: platform teams, ways of working, and governance for data and AI.
- Leading platform strategy and architecture across cloud, hybrid, on-premise and edge environments.
- Leading cross-functional engineering teams through delivery and launch, as the architect and a hands-on developer.
- Designing AI platforms and agents, and modelling enterprise data for analytics and AI, often as a knowledge graph.
Recent work
- Led the architecture and build of a company-wide AI agent platform for a large enterprise, together with the governance model for leadership: named owners, decision rights and criticality levels. Teams across the business use it to build and run their own agents.
- Built the platform foundations for the same company: GitOps deployment, API gateway, identity as code, observability, data pipelines and a data catalogue with lineage.
- Lead architect for a connected-product platform, from roadmap to architecture: a knowledge graph, event-driven data sync and AI.
- Product and platform lead for a digital twin platform for industrial assets that connects the systems a company already runs into one model per asset, running fully on EU-sovereign infrastructure with an access layer for developers and AI agents.
- Designed and wrote that platform’s graph database from scratch in Rust: sharded and schema-enforced, with full version history and built-in vector search, released as open source.
- Led the refactor of an IoT monitoring product through to production releases, including a major database migration.
- Built a plain-language analytics agent for a startup, from proof of concept to a production rebuild that answers several times faster.
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Senior technical management consultant · Cloud, data and digital platforms
swaut.io · Self-employed
Helping organisations modernise their digital services and technical platforms, working closely with C-level leaders, product teams, engineering and R&D. The role combined solution architecture, technical management and hands-on development, from early discovery and proofs of concept to deployment and ongoing operations.
Highlights
- Advised executives on digital transformation, cloud adoption, AI opportunities and long-term platform direction.
- Helped organisations improve ways of working, team structure and alignment between business and engineering.
- Led architecture and technical strategy for cloud, hybrid and on-premise platforms.
- Designed, prototyped and implemented scalable data and analytics systems with engineering teams.
- Developed cloud-native and on-premise solutions for IoT, predictive maintenance and real-time data flows.
- Built complete SaaS platforms: backend, data pipelines, infrastructure and mobile clients.
- Delivered technical assessments, roadmaps and architecture proposals to business and technical leadership.
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R&D project manager · Telecom
Polarium · Full-time
Led cross-functional R&D projects for lithium battery systems in a fast-paced telecom environment.
Responsibilities
- Managed delivery from concept to release, including planning, technical coordination and risk management.
- Worked across hardware, embedded software, mechanical design and IT systems.
- Supported rapid product development and global deployment.
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R&D project manager · Automotive
Scania Group · Full-time
Managed the development of R&D test vehicles used for validation before market release.
Responsibilities
- Coordinated engineering, workshop teams and external suppliers.
- Worked with requirements, risk assessments, scheduling and process improvements.
- Acted as a bridge between R&D and operations, improving communication and cross-team efficiency.
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Field service engineer · Nanotech
Thermo Fisher Scientific · Full-time
Installed, calibrated and supported transmission and scanning electron microscopes for research and industrial customers.
Responsibilities
- Ensured high precision and system reliability on advanced instrumentation.
- Trained customers in operating the instruments.
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Installation engineer · Medtech
Elekta · Full-time
Installed and aligned Leksell Gamma Knife systems for neurosurgical treatment centres worldwide.
Responsibilities
- Responsible for achieving micrometre accuracy in the stereotactic positioning system.
- Trained clinical teams on the system.
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Automation engineer · Oil and gas
Reinertsen AS · Full-time
Designed field instrumentation and control logic for automation systems on offshore platforms.
Responsibilities
- Collaborated with multidisciplinary engineering teams.
- Ensured safe and reliable operation in demanding offshore environments.
Education
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2013 – 2015
Mid Sweden University
Master of Science, Quality management and leadership
Organisational development, leadership and process improvement: leading cross-functional projects, improving technical and operational workflows, and building customer-oriented, scalable organisations.
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2009 – 2012
Chalmers University of Technology
Bachelor of Science, Mechatronics, robotics and automation engineering
A broad engineering programme across mechanics, electronics, embedded systems and computer science, focused on intelligent systems where software and hardware interact.
Licences and certifications
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Product Management: An Introduction
IBM
Sep 2024
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CS109x: Introduction to Data Science with Python
Harvard Online
Oct 2023
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AWS Certified Solutions Architect – Associate
Amazon Web Services
Aug 2022
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Neo4j Fundamentals
Neo4j
Jul 2022
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Cypher Fundamentals
Neo4j
Jul 2022
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ArangoDB Certified Professional
Arango
Jul 2022
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Architecting on AWS
Informator
Oct 2019
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PRINCE2 Foundation and Practitioner
Arkatay
Jun 2018
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Certified Scrum Product Owner (CSPO)
Scrum Alliance
Jan 2018
Writing
Articles
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LinkedIn · November 2025
Local AI: a reality check on VRAM, speed and the hardware you need
What it takes to run AI models on your own hardware: parameters, VRAM and unified memory, quantisation and which machine fits which need.
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LinkedIn · February 2025
Why AWS EKS might be a smarter choice than serverless
When Kubernetes on EKS gives more value and flexibility than serverless, with a GPU-ready boilerplate in CDK.
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Medium · September 2023
Cost-efficient data platform in Azure with Terraform, containers, Polars and Blob Storage
A low-cost data platform on Azure built with infrastructure as code and efficient data processing.
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Medium · April 2023
Pandas, Spark and Polars: when to use which
A practical comparison of three data processing frameworks and where each one fits.
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Medium · January 2023
Fourier transform in Python
Implementing the Fourier transform in Python for signal processing and frequency analysis.
Let's talk
For architecture, AI platform or technical leadership work, send me an email or connect on LinkedIn. EU based, working remotely across Europe.