Making AI work.
Machine learning engineer certified by Google (Professional Machine Learning Engineer). The technical side, verifiable by credential.
The person behind this
Building AI that actually operates a business —and leaving it governed— takes engineering and governance at once, an uncommon combination. Behind this offer there is a person with a name, those credentials, and two real systems, live, to back them.
§ 01 · The combination
Most people who talk about AI know how to build models or know governance and compliance. Rarely both. That intersection is precisely what makes it possible to structure the data (the technical side) and leave it under the control of the person who directs it (the governance side) — and it is what defines this work.
Machine learning engineer certified by Google (Professional Machine Learning Engineer). The technical side, verifiable by credential.
ISO/IEC 42001 Lead Implementer, the international standard for AI management. The governance side, not the marketing side.
An AI system in production in regulated German healthcare, with its documented and auditable management system; and a verified-data intelligence on investment in Argentina, directed at scale with human verification. Technical detail in the technical reference.
Competitive validation in AI red-teaming in HackAPrompt, the largest competition of its kind: rank 51 among individual participants, of 3,396, in the 2023 edition — verifiable on the public leaderboard —, and within the global top 50 in the 2025 edition, of close to 32,000 participants (the organisers did not publish a leaderboard; the result can be evidenced upon request). Whoever can break an AI knows how to secure it. 2023 edition verifiable on AICrowd; 2025 edition evidenced upon request.
Personal expert status in the Funding & Tenders Portal of the European Commission — the basis from which the Union selects those who evaluate and monitor its programmes.
§ 02 · Verifiable
All credentials are public; the verification for each is one click away.
§ 03 · Why it matters to you
When what is at stake is that your AI does what you want — and being able to answer for it if anyone asks — you do not want a brand: you want someone who understands the system from the inside and the standard from the outside, and who signs with their own name what they say.
Personal authority, not a corporate slogan. That is the commitment of GENAI AREDEZ.
§ 04 · Next step
If what is above matches what you need, the next step is brief: you tell us where you want AI to start working and what you have documented, and we open a direct conversation about the next step.
The person who signs what is said is also the one who builds it.