AI Development Leader
No More Theory. Just Practice.
Leading Teams that Ship • Production-First AI
My focus is on leading engineering teams that bridge the critical gap between theoretical models and real-world, scalable AI systems.
See the ProofINNOVATION DIES IN THE LAB
What AI Leaders Can Learn from
Nokia's Failure to Ship
Incremental improvement feels safe. It's the comfortable path. But comfort doesn't create new markets; it’s a slow march to irrelevance. Look at Nokia. It’s a myth that they didn't see smartphones coming—their labs were filled with prototypes.
Their failure wasn't a lack of ideas; it was a failure to ship.
Today, AI is that smartphone moment, and countless companies have brilliant models running on a developer's laptop. The lesson is the same: the value isn't in the algorithm, it's in the deployed system that customers can touch.
Value isn't Coded, it's Deployed
My leadership philosophy is built on a production-first engineering cycle that treats a model on a laptop as nothing more than a promising idea. It starts with an obsessive focus on quality data, because the most elegant algorithm is useless on a flawed foundation.
From there, we champion rapid POCs, not as academic exercises, but as ruthless filters for what’s viable, a process fueled by relentless team curiosity.
We leverage robust frameworks but stay agile, constantly integrating new knowledge and stress-testing our assumptions in hyper-realistic AI simulations with digital twins before they ever touch a live environment.
Once deployed, the system begins the real work of learning on live data, with its performance and ROI tracked through transparent reports. Every step is governed by a strict adherence to legal compliances, because trust is the ultimate non-negotiable.
DE-RISKING THE FUTURE
Guardrails, Not Gates
The greatest threat to AI innovation isn't a bad algorithm; it's a corporate immune system that defaults to 'no.' Fear creates gates: endless review cycles, risk committees, and processes that suffocate momentum.
My approach is to build the guardrails, not the gates. These aren't bureaucratic checklists; they are automated, intelligent systems engineered directly into our pipeline—ethical bias monitoring, real-time performance circuit-breakers, and transparent explainability frameworks.
By embedding safety from day one, we give our teams permission to be bold. They can accelerate, experiment, and push boundaries, knowing a robust framework is there to prevent them from going over the edge.
It's about empowering builders with a system of trust, verified by technology, so we can navigate the future with speed and confidence, not hesitation.
Hi, I'm Zoltan Matanyi
Producer, Founder & Head of AI Development
Technology leadership isn't about having the best ideas; it's about creating an environment where the best ideas can be built, tested, and shipped.
Over the past 20 years, I've learned that the distance between a prototype and a profitable product is measured in operational discipline and team culture. As an AI leader, my job is to build that bridge. I specialize in architecting high-performance teams and the production-first systems they need to thrive—fusing technical strategy with a relentless focus on delivery.
We don't just build models; we build the organizational engine that deploys and scales value.
DISCIPLINE BEHIND DEPLOYMENT
The Playbook for Shipping
BSc in IT engineering,
technical management
ITIL Foundation Certificate
in IT Service Management
Project Management
Professional (PMP)
Fundamentals of
Digital Marketing
Enhanced Cybersecurity
and Privacy