At UBITECH, I lead product and technology direction for Gaia, UBITECH's enterprise agentic AI platform for building, operating, observing, and evaluating AI agents.
Founder, AI architect, product engineering lead
I build software products end to end.
For more than 30 years, I have worked across product, architecture, engineering, and company leadership. I care about clear systems, thoughtful UX, reliable delivery, and software that holds up in production.

30+
years building software products
2x
founder, CEO, and CTO
Gaia
current AI product platform
Selected work
Thirty years of product work, from visual computing to agentic AI.
The domains have changed, but the work has stayed close to product quality: understand the problem, design the system, build the thing, and keep improving it with users.
I designed AI support for a Greek Cadastre legal-validation platform, bringing AI into administrative decisions where clarity and accountability matter.
I founded Allcancode, launched Run Marco, and then turned the company toward a hybrid no-code, low-code, and code platform for faster product delivery.
I co-founded Evorad and led a certified RIS-PACS product with advanced 2D and 3D medical imaging, enterprise workflows, and telemedicine.
I have spent years in visual computing: 3D graphics, MRI visualization, CAD interfaces, image processing, and physics-based simulation.
Product stories
Three products from different chapters of the same career.
Gaia, Allcancode, and Evorad live in different domains. Each one required the same practical work: make the complex thing clear, reliable, and useful for the people who depend on it.
Capabilities
How I build.
Agentic AI platforms
I work on the practical side of AI: turning broad opportunities into products with observable behavior, evaluation loops, and enough discipline for operational use.
Product engineering
I move between roadmap, UX, architecture, implementation, and delivery because quality usually lives in the connections between those things.
Founder execution
I have worn the CEO, CTO, product, go-to-market, team-building, and hands-on engineering hats. I am happiest when ambitious ideas meet daily delivery.
Visual computing
A lot of my product taste was formed in 3D, CAD, MRI visualization, medical image processing, and simulation: places where precision and reliability are inseparable.
Experience
Product leadership across changing domains.
2024 - Present
Senior AI Architect, Product & Technology Lead
UBITECH
I lead product and platform architecture for Gaia, a UBITECH product, and AI-enabled enterprise and public-sector systems.
2014 - 2024
Founder, CEO, CTO
Allcancode Inc.
I launched Run Marco as the company's first product, then pivoted into a rapid application development platform for moving ideas from concept to market in weeks.
2006 - 2011
Co-founder, CEO, CTO
Evorad S.A.
I helped deliver regulated medical imaging products across advanced 2D and 3D visualization, telemedicine, cloud prototypes, and cross-platform systems.
1991 - 2005
Software Development Manager, Architect, Engineer
Banking, engineering, media, and visualization
Before that, I led and built systems for banking, supply chain, industrial automation, CAD, VFX, and scientific visualization.
Notes
Notes on AI, product judgment, and systems people can rely on.
A few Gaia essays on agentic systems, governance, leadership, and the engineering discipline needed to make AI work in serious products.
May 28, 2026Enterprise AI Diffusion Needs Implementation LaborEnterprise AI will create far more implementation work than most forecasts assume because agents have to be connected to production systems, governed workflows, access controls, cost policies, and recurring model upgrades.Read the note on the Gaia blog
May 21, 2026AI Token Costs Need an Operating Model, Not a Bigger BudgetEnterprise AI spend is becoming an operating discipline. Token budgets matter, but the real control problem is workload routing, attribution, approvals, exceptions, and model flexibility.Read the note on the Gaia blog
May 19, 2026AI Trust Is a Deployment DisciplineEnterprises will not scale AI because they believe in it. They will scale it when trust becomes measurable, operational, and tied to deployment decisions.Read the note on the Gaia blog
May 19, 2026Forward-Deployed AI Is a Feedback Loop, Not a Services MotionForward-deployed engineering is becoming central to enterprise AI because agents change with models, workflows, and customer practice. The real advantage is the learning loop between deployment and product.Read the note on the Gaia blogBeginnings
It started with Philips computers, cartridges, and the first tiny programs.
Around 1983, games on a Philips Videopac led to Cartridge 9, machine code, assembly, and then a Philips P2000T with Microsoft BASIC.
That was the first version of a pattern that has stayed with me: play with the machine, understand how it works, and then use that understanding to make something useful.
Read how everything startedWhat's in the name
voxelperfect is pixel perfect for a 3D world.
It reflects the same attention to exactness, craft, and small product choices, translated from flat pixels into depth, structure, and the tactile logic of voxels.
It is also the name of a voxelperfect project I have been shaping, where 3D craft, product taste, and playful precision are starting to meet.
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