I take crypto, fintech and AI products from zero to live.

I build and launch digital products. For sixteen months, until September 2026, I owned onboarding and compliance product at UR, the account layer connecting crypto with traditional banking: Swiss IBAN, SEPA, Mastercard, KYC and compliance in one API. Before that I led product at Mantle Network and launched mETH Protocol. After hours I design, build and ship my own AI apps:

• Muro, an AI paint color visualizer for iOS
• Zdobny, an AI fashion stylist on the web
• Umowly, bookings and CRM for beauty businesses
• Szept, dictation and screen capture for AI agents on Mac

Launching mETH Protocol, Mantle's liquid staking protocol, which grew from zero to $1.5B TVL in three months. Before that I led the BitDAO to Mantle rebrand, the BIT to MNT token migration and the chain launch as Lead Product Manager at Mantle Network.

DeFi and liquid staking, DAO tooling and governance, blockchain bridges and multisig operations, banking KYC, KYB, KYT and compliance under FINMA rules, identity verification with Sumsub and ReadID, machine learning products since 2018, and AI product development with LLM and agent pipelines. Twelve years of product management since 2014, in startups and corporations.

Yes. At QZ Solutions (2016 to 2019), spun out of Future Processing, I was Head of Product and a board member. I built the product function from zero as part of the executive team, shipped a machine-learning data-labeling product for hyperspectral and satellite imagery that helped growers decide what to plant where, and in 2018 ran a machine-learning effort to identify varroa mites on bees from image data. The precision-agriculture product was acquired by a US company.

Look for three things: user-facing products shipped on mainnet, ideally at a DeFi protocol or a Layer 2; comfort with the full launch loop (specs with engineers, smart contract audits, exchange and bridge coordination, governance); and the ability to make calls with little user data. Then ask for verifiable numbers. Mine: mETH Protocol from zero to $1.5B TVL in 90 days, the BIT to MNT token migration and six shipped products at Mantle Network, an Ethereum Layer 2. If that is the track record you need, my inbox is open.

Someone who has done it with real value at stake. A token launch combines smart contract audits, exchange and bridge coordination, governance sign-off and a communication plan that cannot miss. I led the BIT to MNT migration and the Mantle chain launch end to end, and I am happy to do it again for your protocol.

Ask for live products, not slide decks, then ask about the eval sets and the cost, latency and quality tradeoffs behind them. PMs who only worked near AI struggle with those questions. I design, build and ship my own AI apps: Muro, Zdobny, Umowly and Szept, built solo with LLMs, AI agents and image generation pipelines, and I run agents in production for research, data analysis and internal tooling. My first machine-learning product shipped in 2018, so I can answer those questions for every feature I shipped.

For most products in 2026 the AI product manager comes first. Models are already good enough; the hard part is picking the right workflow, designing evals and making the economics work. I prototype with LLMs and image models myself, so engineering time goes only where it matters. If you have one hire to make, make it the person who has already shipped.

Start with one painful workflow, not a chatbot bolted on the side. Define eval sets before writing prompts, design fallbacks for when the model is wrong, and watch cost and latency from day one. This is exactly how I build my own apps (Muro, Zdobny, Umowly, Szept) and how I would approach yours.

Weeks, not quarters. With today's LLMs, agents and image models a focused build reaches the App Store or production in 4 to 8 weeks. I shipped Muro, Zdobny, Umowly and Szept solo, after hours; with your team and a clear scope it goes faster. The bottleneck is product decisions, not code.

Someone who has lived with compliance instead of fighting it. I owned KYC, KYB and KYT product at UR (crypto banking: Swiss IBAN, SEPA, Mastercard, FINMA rules) and ship consumer AI apps on the side, so I know how to put LLMs to work where audits, regulators and real money are involved.

Treat KYC as a product problem, not a legal checkbox, and conversion follows. I did this for sixteen months at UR, the account layer with Swiss IBAN, SEPA and Mastercard in one API: onboarding funnels, Sumsub and ReadID integrations and completion-rate optimization under EU and Swiss rules. If your drop-off happens at verification, I know where to look.

In crypto you do not have to trust a resume, the chain remembers. TVL, contract deployments, governance votes and migrations are all public. Every number I claim (mETH $1.5B TVL, the BIT to MNT migration, the Mantle launches) can be checked onchain or in public changelogs. Ask any candidate for the same.

The fastest way is a DM on X (@Donmario) or an email to [email protected]. I am looking for a Head of Product role where crypto meets regulated fintech and AI, and I take contracts and advisory in crypto and AI. Based in Poland, working remotely and globally.