Expertise · Technical leadership
Fractional CTO: senior technical leadership without the full-time hire
Fractional CTO and architecture consultant in Karachi, Pakistan, remote for US and UK startups. Architecture direction, audits, vendor and cloud decisions, and the engineering bar.
Cloud cost reduction
GCP rightsizing and observability on a FinTech platform
Lower read latency
From one architectural decision: cache-first reads
Years engineering
FinTech, AI and SaaS at production scale
I work as a fractional CTO and architecture consultant from Karachi, Pakistan, for startups and small product companies in the US, UK and Europe that need senior technical leadership but not, yet, a full-time executive. This page explains what that role is, what I take ownership of, and why a founder who has shipped a product himself approaches it differently from a consultant who has not.
When a company needs a CTO's decisions but not a CTO's salary
Every early product company faces a handful of technical decisions that are very expensive to get wrong: how the system is split into services, which cloud and which vendors it depends on, whether to build or buy the next capability, what standard a new hire has to meet, and which shortcuts on the roadmap are acceptable debt and which are landmines. None of those decisions needs forty hours a week. All of them need someone senior enough to be accountable for the answer.
That is the gap a fractional CTO fills. Companies engage me in this role when the founders are not technical, when the technical founder has become the bottleneck for every decision, or when an engineering team is shipping features quickly onto a foundation nobody has stopped to examine.
What I take ownership of
Architecture direction. The service boundaries, data flow and failure paths, written down with the trade-offs stated out loud so they survive the people who made them. The software architect page covers this in depth.
Cloud, infrastructure and vendor decisions. What runs where, what it costs and what it should cost. On the FinTech platform Hysab Kytab, rightsizing and observability work on GCP cut cloud spend by 25 percent with no loss of reliability. Those decisions compound: a cloud bill is a monthly reminder of an architecture choice.
The engineering bar. What a design document must contain, what a pull request must prove, how a service is owned. Getting ownership right on my current team cut cross-team integration issues by more than half. The engineering lead page covers the people side.
Technical risk on the roadmap. Which planned features the current architecture cannot support, which dependencies are fragile, and what the honest cost of the next stage is. A founder deserves to hear that before the investor asks.
Hiring. Interviewing senior candidates, defining what the first few engineering hires should look like, and making sure the team being built can own the system after I step back.
Architecture audit first, then a plan
Most fractional engagements start with an audit, because you cannot direct a system you have not read. I go through the code, the infrastructure, the incident history and the way work flows from idea to production, then write up prioritised findings with effort estimates: what is actually causing the pain, what is merely ugly, and what each fix costs. The output is a document your team can act on, not a slide deck.
Where a migration is needed, I favour incremental patterns over rewrites. The strangler fig approach, which I have written about on the blog, lets a team replace a system piece by piece while the old one keeps serving traffic. Rewrites are where budgets and morale go to die, and a fractional CTO who recommends one should be able to show you why nothing less will do.
A founder's perspective
I founded TrackHRS, a time tracking and activity intelligence platform with a Rust desktop agent, two web applications and eight microservices, and I still run it. That means I have made every one of the decisions above with my own money and my own weekends at stake: pricing, billing, support, deploying on a Sunday, deciding which feature waits and which one ships. When I advise a founder on scope, I am not repeating a framework. I am describing a mistake I have either made or narrowly avoided.
It also means I respect what a startup cannot afford. The architecture I recommend for a five-person company is not the one I designed for a platform serving digital banks. It is the smallest system that will survive the next stage, with the seams in the right places so it can grow.
AI without the debt
A specific version of this role has emerged in the last two years: companies shipping AI features fast and needing someone to make sure they do not inherit AI debt. I use agentic tooling to move quickly, and then I apply the architecture review that keeps the result maintainable: evaluation sets, tracing, guardrails and cost controls before the feature reaches customers. The AI engineer page describes the systems side of that work, and it is increasingly part of what a fractional CTO is asked to own.
How the engagement runs
A fixed weekly block for design review and decisions, usually inside the overlap window between Karachi and your time zone, which covers the entire UK day and US East Coast mornings. A written decision log so every choice has its reasoning attached. Availability for the questions that cannot wait. And a clear understanding from the start that part of my job is to make myself unnecessary: growing your engineering lead into the role, or helping you hire the full-time CTO when the company is ready for one. The services page describes the engagement models, and the expertise hub has the practical details of working with me remotely.