AI adoption and governance
A practical plan for bringing AI tools into engineering work, with the guardrails a regulated business needs.
ENGINEERING LEADER · ADVISOR · SKOPJE, CET
Responsible AI adoption for engineering teams in regulated industries.
I've spent 19 years building and running engineering teams in fintech, healthcare and e-commerce, as CTO, CEO and engineering director. I help founders and engineering leaders bring AI into how their teams build software, without losing control of quality, security or accountability.
19+
years leading engineering
100+
engineers led across 3 countries as CTO
5
leadership levels, from team lead to CEO
PhD
candidate in generative AI safety and ethics
// HOW I HELP
Where I can help
Scaling the engineering team
Team structure, delivery process and culture as you grow from a handful of engineers to dozens.
Platform and cloud
Architecture, Azure and AWS migration, and CI/CD foundations that hold up as you grow.
A senior sounding board
Build or buy, hiring, vendors, roadmap. Someone to think it through with, for technical and non-technical founders.
Technical due diligence
An honest read on a company's technology, team and architecture, for investors and acquirers.
I take a small number of remote advisory engagements, a few hours a week, and work across US and UK business hours from Central Europe.
// RESEARCH
GEF-SDLC: governing generative AI across the software lifecycle
A gated governance model for using generative AI responsibly at every stage of software delivery. It is built on three principles: transparency, interpretability and explainability. It grew out of my PhD research on AI ethics in software engineering and is going through peer review.
- 01
Requirements
- 02
Design
- 03
Build
- 04
Test
- 05
Release
- 06
Operate
◆ = governance gate
Transparency
Is it clear where AI was used?
Interpretability
Can the team understand what it produced?
Explainability
Can a person explain and own the decision?
I also work on 'ethical debt': treating the unmanaged risks of AI use like technical debt, something you can measure and pay down.
// EXPERIENCE
Experience
2025 — now
Engineering Lead, Digital Banking · G+D Netceteranow
Leading mobile, web and integration teams delivering white-label digital banking across Switzerland.
2024 — 2025
Senior Engineering Director · RLDatix, London
Ran the Platform pillar at a global healthcare software company: platform engineering, data platform and AI initiatives.
2021 — now
Founder and Senior Engineering Advisor · Binary Solutionsnow
Advisory work with founders and leadership teams on engineering, process, cloud and AI strategy.
2019 — 2021
Engineering Director, Platform · H4, London
Led around 40 engineers on a platform for the documents behind global financial markets.
2017 — 2019
Chief Executive Officer · Intertec
Ran a 90-person technology company serving German enterprises and startups.
2017 — 2018
Senior Engineering Manager · Global Savings Group, Munich
Led several development teams and product managers.
2011 — 2017
CTO, earlier Engineering Lead · Cosmic Development, Toronto
Technology strategy for 100+ engineers in three countries.
2008 — 2011
Software Engineer
Where it started: writing code on a web team.
// SELECTED ADVISORY
Selected advisory work
Adeva (acquired by Toptal)
Engineering processes, AI strategy, senior advisor to the C-level team.
IQVIA
Mobile development strategy, team structure and hiring.
Semos Cloud
Migration to Microsoft Azure, and the team and process around it.
911Systems
Set up the engineering team, process, hiring and technology strategy.
Stornest
Technical vision and development method.
MayLindstrom Skin
Engineering process and tools.
// TEACHING & EDUCATION
Teaching and education
Teaching and community
- Lecturer, Academy for Executive Management
- Board of Advisors, CTO Professionals Club Macedonia
- Speaker on engineering leadership, digitalization and AI
- LinkedIn Top Voice in Engineering Management and Mobile Applications
Education
- PhD candidate, Generative AI safety and ethics, FCSE Skopje
- Certificate in Strategic Agility, Schulich School of Business, Toronto
- MSc Software Engineering and BSc Computer Science, FCSE Skopje
// CONTACT
Good engineering is a people problem first. AI doesn't change that.
If you're working out how AI fits into your engineering team, or your team is growing faster than its habits, write to me. I reply to every message.
mitrevski.viktor@gmail.com
LinkedIn →