Hi, I'm Dmitri Mihhailov.
For 20 years I've built the engineering behind two of Estonia's unicorns. I started at Skype in 2005 — writing the payment integrations that let millions of people buy SkypeOut minutes with their cards, PayPal, and Skrill. Later, as Principal Group Engineering Manager at Microsoft, I was accountable for Skype's entire Commerce and Monetization portfolio — 45 engineers across two countries, keeping billing, payments, and taxation running for tens of millions of users.
In 2018 I joined Bolt. As Director of Engineering, Commerce, I'm accountable for the platform that processes multi-billion euro annually across rides, food delivery, and scooters. I've grown the team 15x, managed a €15m annual budget, and made 200+ hiring decisions along the way.
Why I started Talunik
After 20 years building commerce systems at global scale, I watched a pattern emerge around me: small businesses paying serious money for AI projects that didn't survive contact with their actual workflow. Not because the technology was bad — because nobody stopped to ask the unglamorous questions first. Who owns this process? What does the data look like on a bad day? What happens when it breaks at 2am?
That's the muscle I spent 20 years building. Talunik exists to bring it to small European businesses — not just Fortune 500s.
What I bring
- 20 years of mission-critical commerce systems at Skype, Microsoft, and Bolt. Billions of transactions, millions of users, zero tolerance for downtime.
- Compliance and security depth — I've worked inside GDPR, ISO 27001, and the full European regulatory stack (PSD2, EMD, SOX, ITGC, PCI DSS) at companies where getting it wrong meant millions in fines. If your workflow touches personal data or financial records, you're getting expertise from the real thing.
- Estonia roots. I was at Skype before Microsoft acquired it, at Bolt before it hit unicorn status. Estonia has more tech unicorns per capita than anywhere in Europe — I've been inside two of them from the early days.
- What I don't do. No custom model training. No enterprise engagements. No work with companies that already have engineering teams. Small European businesses who want AI that actually pays off. That's the job.
I don't claim to know everything about AI — the tech moves fast. What I do know: how to separate signal from noise, how to ship things that work at scale, and when to tell a client not to bother.