Fractional CTO & engineering leadership for SaaS and food-tech teams
I help SaaS and food-tech product companies ship faster and run more reliably — owning delivery, architecture, AI adoption, and reliability as a part-time engineering leader, consultant, or advisor. The same work I do today leading multiple Agile teams as an Engineering Manager at Flipdish, applied to your company.
Three ways to work together
From ongoing part-time leadership to a single expert call — every engagement is scoped around a business outcome, not a block of hours.
Fractional engineering leadership / CTO
Senior, part-time ownership of your engineering organization — delivery, architecture, and team growth. I run planning and prioritization, set technical direction, and report progress in business terms, the way I do for C-level leadership today.
What you get- End-to-end delivery ownership: sprint planning, backlog prioritization, release execution
- Architecture decisions for scalability, reliability, security, and performance
- Hiring, mentoring, and growing the team that outlasts the engagement
AI-assisted delivery consulting
I find the real bottleneck in your delivery or operations, then apply LLM-powered workflows with human-in-the-loop review — measured against your existing baseline. It’s the playbook behind the AI-assisted onboarding work at Flipdish.
What you get- Workflow mapping to find the highest-leverage bottleneck — before any model is chosen
- LLM workflow design with human review built in as a feature, not a compromise
- AI tooling embedded across the development lifecycle — GitHub Copilot, Claude, ChatGPT
Advisory & expert calls
Focused senior input when you need a second opinion rather than a second pair of hands: architecture and system reviews, coaching for engineering leaders, and technical due diligence for founders and investors.
What you get- Architecture and system design reviews with concrete, prioritized recommendations
- Leadership coaching for engineering managers and tech leads stepping up
- Technical due diligence on teams, codebases, and delivery practices
How I work
Every engagement follows the same arc — understand the problem, frame it in business terms, execute with your team, and hand it off in a measurably better state.
- Scoped discoveryA short, structured look at your goals, constraints, team, and systems. The output is a clearly scoped engagement with a definition of done — not an open-ended retainer or a slide deck.
- Business-metric framingWe agree on what success means in business terms — onboarding effort, churn, incident volume, delivery throughput — before any technical work starts. The goal is never “adopt AI” or “refactor the platform”; it’s the metric those things should move.
- Embedded executionI work inside your existing team’s rituals and tools — planning, code reviews, incident response — raising the bar from within rather than running a parallel consulting track that disappears when I do.
- Measurable handoffEngagements end with your team able to run what we built: documentation, named owners, and the metrics in place to keep it honest. Success means you don’t need me anymore.
Results, not promises
The same playbook — bottleneck first, business metric first, humans in the loop — applied at real product companies.
“Anas is the definition of going above and beyond as a software leader. His strong product intuition and leadership skills set him apart. He is the perfect engineering partner to have to build a complicated and reliable product.”
Frequently asked questions
What does a fractional CTO actually do?
A fractional CTO gives you senior technology leadership on a part-time basis: owning architecture decisions, delivery process, hiring, and the translation between business goals and engineering reality. You get the judgment of an experienced engineering leader without the cost or commitment of a full-time executive. In practice that means setting technical direction, unblocking delivery, and building the team and processes so the company can eventually run without me.
How does a fractional engagement work?
It starts with a scoped discovery conversation: what you are trying to achieve, where things are stuck, and whether I am actually the right person to help. From there we agree on the business outcomes the engagement is accountable for and a recurring slice of my week. I work embedded with your existing team — remote, with regular checkpoints — and every engagement is designed around a clean handoff rather than long-term dependence.
What kinds of companies do you work with?
Mostly SaaS and food-tech product companies — I lead engineering at Flipdish, a restaurant ordering and management platform, and previously managed cloud-native and mobile-first platforms at Gridware. I am most useful where delivery has slowed down, reliability is hurting customers, or an AI initiative needs someone who has shipped one in production. The underlying stack I know best is TypeScript, Node.js, React, and serverless microservices on AWS.
How do you bring AI into delivery?
Bottleneck first, model second. I map the workflow, find where the hours actually go, and apply LLM-assisted workflows with human review on the quality gate — then measure the result against the pre-AI baseline. I also help teams adopt AI tooling like GitHub Copilot, Claude, and ChatGPT across the development lifecycle. The Flipdish onboarding case study walks through this approach end to end.
Where are you based and what time zones do you cover?
I am based in Karachi, Pakistan and work fully remote. I keep structured overlap with US, UK, and EU time zones — I have spent years working directly with US-based stakeholders and customers — and run engagements async-first so progress does not depend on meetings.
Let’s scope it in 30 minutes
Bring the problem — slow delivery, a reliability mess, an AI initiative that is not landing. You will leave the call with an honest read on whether I can help and what an engagement could look like. No pitch deck, no obligation.