Hands-on Fractional CTO / Software & AI companies

A hands-on CTO who builds with your team.

I write code, build infrastructure, and debug production systems while taking responsibility for technical direction and delivery.

PhD in computer science20+ years in engineeringA six-month initial engagement

I work with software and AI companies when technical complexity has outgrown the current leadership structure.

The founder may still be making every important technical decision. The engineering team may be busy without delivering predictably. An AI prototype may work in a demonstration, but nobody owns what it takes to operate it in production.

These can look like separate problems.

Usually, they are not.

They are signs that architecture, engineering delivery, infrastructure, and team ownership are no longer working as one system.

As a fractional CTO, I help take responsibility for that system, without requiring the company to hire a full-time CTO.

I stay hands-on throughout the engagement. I write code, debug failures, build infrastructure, and work directly on production systems alongside your engineers. Technical direction and implementation are both part of my work.


Does this sound familiar?

  • Important technical decisions keep returning to the founder.
  • Engineers are working, but delivery is still slow or unpredictable.
  • The team adds tools, processes, and people without removing the bottleneck.
  • Architecture decisions are made locally, but nobody owns the whole system.
  • Infrastructure, application, data, and AI work are moving in different directions.
  • The company can build features but struggles to operate them reliably.
  • Nobody can clearly explain who owns reliability, cost, security, evaluation, or failure handling.
  • You need senior technical judgment, but a full-time CTO is not the right hire yet.

Adding another developer may increase capacity.

It does not fix missing technical ownership.


I look at the whole system that produces software, not only the code.

A production system is more than an application.

It includes the architecture, infrastructure, engineering process, decision rights, team boundaries, deployment path, and the people accountable when something fails.

I work across those boundaries, from investigating the problem in code to implementing and deploying the changes with the team.

Depending on the company, that can include:

  • Connecting technical strategy to business priorities.
  • Designing and implementing architecture and infrastructure changes.
  • Writing and reviewing code, reproducing failures, and debugging production problems.
  • Clarifying engineering roles, ownership, and decision rights.
  • Improving the path from idea to production.
  • Strengthening the SDLC, CI/CD, release, and reliability practices.
  • Making technical risk visible to the executive team.
  • Supporting hiring and developing existing technical leaders.
  • Preparing AI systems for production use.
  • Establishing accountability for cost, security, evaluation, observability, and failure handling.

The goal is not to produce a longer technology roadmap.

The goal is to make technical execution deliberate, accountable, and less dependent on one person.


What I take responsibility for

Technical direction

I help the company decide what should be built, what should be changed, and what should not consume attention yet.

That includes the tradeoffs behind architecture, infrastructure, build-versus-buy decisions, technical debt, and engineering investment.

Engineering delivery

When delivery slows down, the visible symptom is often a missed deadline.

The real problem may be unclear ownership, unstable priorities, poor system boundaries, weak release practices, or decisions waiting for the founder.

I follow the work from business priority to production, find where the system breaks, and work directly on the code, tests, and release pipeline needed to fix it.

Architecture and infrastructure

Architecture is not a collection of diagrams. It is a map of decisions and responsibility.

I design and implement changes to application architecture and infrastructure, investigate failures, and verify how the system behaves in production. That work connects reliability, security, and cost to the business the company is actually building.

Team and leadership

More engineers do not automatically create a stronger engineering organization.

I help define responsibilities, improve technical decision-making, support senior engineers, evaluate hiring needs, and create clearer communication between engineering and the executive team.

Production AI

An AI prototype can produce an impressive answer while the surrounding system is still unsafe, expensive, unreliable, or impossible to operate.

Production AI requires decisions about evaluation, observability, permissions, data retention, deletion, infrastructure, cost, and failure handling.

I build and evaluate AI workflows, work directly with models and data, and implement the software and infrastructure needed to operate them.


The first six months

I structure the initial fractional CTO engagement around six months.

That is long enough to understand the system, make difficult decisions, help the company execute them, and determine whether the changes survive normal operating pressure.

What should be different after six months?

The exact outcomes depend on the starting point, but the direction should be visible:

  • The founder is no longer the default destination for every technical decision.
  • Engineering priorities have a clearer connection to business priorities.
  • Architecture decisions have named owners and explicit tradeoffs.
  • Work moves from idea to production through a more predictable system.
  • Production risks are visible before they become emergencies.
  • The executive team can discuss technical risk without translating everything through implementation details.
  • Senior engineers understand where they can decide and where they need alignment.
  • The company has a clearer answer about whether and when it needs a full-time CTO.

If we cannot describe what should change, we do not yet have a useful engagement.


This is likely a fit if:

  • You have a real software or AI product, not only an idea.
  • Technical problems are affecting delivery, customers, cost, or growth.
  • You have engineers or are preparing to build an engineering team.
  • A founder or executive is ready to sponsor technical change.
  • You need someone who combines senior technical ownership with hands-on implementation.
  • You are willing to change priorities, responsibilities, or operating practices when the evidence requires it.
  • You need CTO-level leadership, but a full-time CTO is not the right decision today.

This is probably not a fit if:

  • You only need a developer to complete a predefined backlog.
  • You want a CTO title for an investor presentation without giving the role meaningful access or responsibility.
  • You want occasional advice without implementation or accountability.
  • The company does not yet have a product, technical activity, or budget for senior leadership.
  • Every technical and organizational decision has already been made and cannot be challenged.

The engagement combines direct implementation with responsibility for architecture, delivery, and technical decisions. I build with the team and take ownership of the wider system.


Why me?

I am a PhD computer scientist with more than 20 years in software engineering and 12 years of formal team leadership.

I have worked across software architecture, infrastructure, data, machine learning, production AI, delivery systems, and engineering leadership. I have held CXO-level responsibility and managed teams of up to 30 people.

I have stayed hands-on in that work. I write code, build infrastructure, work with models and data, and debug production systems. You can see examples in my selected projects.

There is a pattern in my consulting work.

A company hires me for a narrow technical problem, often an implementation problem. Then the team discovers that the issue connects to infrastructure, architecture, machine learning, delivery, or technical ownership.

My responsibility expands because I can see and work across the larger system.

I am making that responsibility explicit at the beginning of the relationship.

I bring the engineering depth, leadership experience, and system-level judgment that caused earlier client relationships to expand beyond their original scope.


Fractional CTO or another senior developer?

A senior developer can be the right answer when the direction is clear and the company needs more implementation capacity.

A fractional CTO is the better answer when the company first needs to decide:

  • What should be built?
  • Who should own it?
  • Why is delivery slowing down?
  • Which risks matter to the business?
  • Is the architecture appropriate for the next stage?
  • Is the AI system ready for customers?
  • What kind of engineering organization does the company need?

If the problem is primarily capacity, hire capacity.

If the problem is direction, ownership, and technical accountability, adding capacity may make the problem larger.


Does a fractional CTO replace the engineering team?

No.

The role exists to make the team more effective, not to become a permanent decision bottleneck above it.

I work with founders, executives, senior engineers, developers, vendors, and other leaders. Part of the job is to clarify which decisions belong where and help capable people take more ownership.

I write, review, and debug code alongside the engineers. Shared implementation work helps us test decisions and build the team’s ability to own the system.

Does this replace a full-time CTO?

Sometimes a company needs a full-time CTO immediately. If that is the case, I will say so.

In other cases, the company needs senior technical leadership before it is ready to make that hire. A fractional engagement can stabilize the system, clarify the role, and help the company understand what its eventual full-time CTO must own.

Is this advisory work?

This is hands-on technical leadership. I investigate problems, make decisions, implement changes, and verify the results with the team.

I remain directly involved in engineering throughout the engagement, from the first diagnosis through deployment and production follow-up. The work includes code, infrastructure, debugging, and accountability for delivery.


Let us start with the actual problem.

The first question is not, “Do we need a fractional CTO?”

The first question is whether technical complexity is affecting the company faster than the current leadership structure can manage it.

The qualification form asks a few practical questions about the company, what changed, and where the technical bottleneck is appearing.

If the situation looks appropriate for a fractional CTO conversation, we can examine it directly. If it does not, I will say so.