Services
Senior engineering judgment,
hands on the keyboard when needed.
Four ways to work together. Each can be a scoped project or ongoing fractional advisory.
01
AI Adoption & Agentic Engineering
Put AI to work on real engineering and operations, not just demos.
For: Teams that want AI to carry real workload: code, docs, reviews, ops and customer-facing tooling.
You get: Working AI workflows wired into your repos, tools and processes, plus the playbook to run them.
- Agentic development workflows with coordinated multi-agent teams
- MCP servers that let AI safely read and act on your systems
- Human-in-the-loop approval flows and guardrails
- Convention, testing and documentation automation
- Rollout plans, training and measurable adoption targets
02
Architecture & Technical Leadership
Senior judgment on the decisions that are expensive to get wrong.
For: CTOs and teams facing big design choices, growing complexity or no full-time architect.
You get: A clear assessment, decisions and an actionable roadmap, or ongoing technical direction.
- Architecture reviews and technology selection
- Distributed-system and platform design
- Build-vs-buy and scalability assessments
- Fractional architect / technical lead
- Mentoring and engineering standards
03
Cloud & Platform Modernization
Simpler, cheaper, safer delivery from commit to production.
For: Businesses paying too much for infrastructure or losing engineering time to operational friction.
You get: A more reliable, maintainable platform with measurable improvement targets.
- AWS architecture and multi-account setup
- Infrastructure as code, Kubernetes and GitOps
- CI/CD pipelines and release engineering
- Observability and cloud-cost analysis
- Developer platform and tooling
04
Backend, IoT & Data Platforms
Telemetry, devices and data pipelines that hold up at scale.
For: Teams whose APIs, data pipelines or device fleets are turning into bottlenecks.
You get: Targeted implementations, performance wins or a modernization plan.
- Python, Go and Rust services
- Telemetry ingestion and time-series platforms
- Event-driven architecture: Kafka, RabbitMQ, MQTT
- Device identity, X.509 provisioning and mTLS
- Performance and reliability engineering
Start small
Architecture & Platform Health Check
A fixed-scope assessment of your architecture, platform and delivery, including where AI could take real work off your team.
- About 10–15 hours, fixed price
- Interviews, code and infrastructure review
- Written findings ranked by cost and risk
- A practical 90-day roadmap
- No commitment to anything further
Engagement models
Project-based. A defined assessment, design, modernization or implementation with clear deliverables and a fixed scope.
Fractional advisory. Scheduled senior architecture and AI-engineering guidance for teams that need ongoing support but not a full-time hire.
Work is delivered remotely from Stockholm, with on-site visits by arrangement. Engagements are scoped, business-hours work; I don't offer 24/7 on-call.
Have a difficult technical problem?
Tell me what you're building, what's not working, or which decisions you're trying to make. I usually reply within two working days.