C-level tech leadership without the full-time overhead.
Fractional CTO
C-level technology leadership at a fraction of the cost: strategy, architecture decisions, and mentoring from someone who has built systems for 30+ years — a few days a month instead of a full-time salary.
What is Fractional CTO?
A fractional CTO is an experienced technology leader who works with you a few days a month instead of as a full-time hire. I help founders and teams make the architecture decisions that are expensive to get wrong: choosing a tech stack, designing for scale and cost, setting up cloud and security foundations, evaluating vendors, and mentoring engineers. You get senior, hands-on judgement — drawn from decades of building production systems — without the cost of a full-time C-level salary. It fits early-stage startups without a CTO, and growing teams that need senior direction for a specific phase or decision.
Not every company needs a full-time CTO — but every company needs strategic technology leadership. As your Fractional CTO, I bring 30+ years of engineering experience to your leadership team on a flexible, part-time basis.
From technology strategy and architecture decisions to team mentoring and vendor evaluation, I provide the guidance that turns technical investments into business outcomes. I've seen what works and what doesn't — across startups, scale-ups, and enterprise environments.
The engagement is tailored to your needs: a few days per month for ongoing advisory, or intensive sprints for critical decisions like technology migrations, team scaling, or product architecture.
Key Benefits
Senior Advice, Part-Time
Strategic technology leadership a few days per month — without the full-time salary.
30+ Years Experience
Deep expertise across cloud architecture, AI, mobile, and enterprise systems — battle-tested in production.
Flexible Engagement
Scale involvement up or down as your needs change. Advisory retainer or intensive project sprints.
What's Included
Use Cases
Proof, not just promises
I run my own products on the same AWS serverless stack I build for clients. GeoHook — a live geofencing-to-webhook service — is built end to end on AWS Lambda, DynamoDB, and API Gateway and deployed as Infrastructure as Code. It's a working example of the architecture, reliability, and cost model described on this page.
Frequently Asked Questions
What is AWS Serverless and why should I care?
AWS Serverless means you run applications without managing servers. Services like Lambda, DynamoDB, and API Gateway automatically scale with demand and you only pay for actual usage. This eliminates idle server costs, reduces operational overhead, and lets your team focus on building features instead of maintaining infrastructure.
How do you ensure GDPR compliance for AI solutions?
I build on AWS Bedrock, which processes data in the EU region (Frankfurt) and doesn't use your data for model training. All my AI architectures include data residency controls, consent management, and audit trails. I design for GDPR compliance from the start — it's not an afterthought.
What does a Fractional CTO engagement look like?
A Fractional CTO engagement typically starts with a technology audit and strategy session. From there, I work with you on an ongoing basis — usually a few days per month — covering architecture decisions, team mentoring, vendor evaluation, and roadmap planning. You get C-level expertise without the full-time salary.
How much can serverless save compared to traditional infrastructure?
Most clients see 40-70% cost reduction after migrating to serverless. The savings come from eliminating idle compute costs, reducing ops overhead, and paying only for actual usage. I provide a detailed cost analysis before any migration to quantify your specific savings potential.
Do you work with international clients?
Yes. I work with clients across Europe and beyond, with experience in cross-border data compliance and multi-region AWS deployments. My GDPR expertise is particularly valuable for companies operating in or selling to the EU market.
What's the typical engagement timeline?
It depends on the scope. A serverless architecture review takes 1-2 weeks. An AI agent MVP typically takes 4-8 weeks. A full cloud migration can span 2-6 months. In a free initial call, I'll map out a timeline tailored to your specific needs and priorities.
Let's Build Something Great
Ready to transform your ideas into reality? Let's discuss how we can help.
Get in Touch