Speakers - AI Heroes 2026

Marcello Domenis

CoFounder & CTO – Clev

Building an Early-Stage Startup: AI That Actually Works and What Investors Fund

Marcello is a CTO and founder building AI and computer graphics systems for construction and building design, focused on deploying AI in real production workflows and turning deep tech into usable products. He previously bootstrapped an AI agent platform to hundreds of users and worked at Sanctuary AI on spatial intelligence for humanoid robots. He is now CTO and co-founder of Clev, where he leads AI-driven design automation used by architecture and engineering firms with over €40M in combined annual revenue. The company secured early backing from an international VC-backed accelerator and multiple European co-design partners.
He operates across North America and Europe and brings a combined perspective of venture capital, early stage startup execution, and hands-on engineering. His speaking topics include cloud and AI deployment, early adoption in production, and building technical startups from zero to traction.

LinkedIn | Github

Tomas Parizek

Senior iOS Engineer – STRV

Beyond Vibe Coding: Architecting the Future of Mobile Apps with AI Agents

I’m Tomáš, a Prague-based developer with over 10 years of experience turning code into products. I’m a Senior iOS Engineer at STRV and I explore the bleeding edge of Agentic AI, pushing the limits of what a single developer can ship using autonomous tools.
I’m obsessed with moving beyond “vibe coding” to find practical, scalable ways to integrate AI into mobile development lifecycle.

Marco De Nittis

Architect – Synesthesia

To Vibe or not to vibe

Freelance consultant, trainer and technology enthusiast with a deep love for every layer of product life — from architecture and DevOps to actual coding.
He has worked with both large enterprises and smaller companies, contributing to a wide variety of projects across the full software lifecycle.
Involved in building GenAI solutions — from design to implementation — with a keen interest in the emerging standards and protocols shaping the AI ecosystem, such as MCP, AGUI, A2A, A2UI and the broader agentic landscape.
Pragmatic, eclectic and curious. AI, cloud, serverless and WebAssembly are the spaces where he spends most of his time — as a practitioner, consultant and trainer.
Focused on helping teams to embrace AI-aided software workflow: understanding how to work with AI to write enterprise level software, faster — without losing critical thinking.
He is lucky to have turned one of his passions into a profession.

Jiri Koutny

Engineering Manager – STRV

Language Games and LLMs: What Wittgenstein Can Teach Us

Jiří Koutný is an Engineering Manager at STRV with a Ph.D. in computer science and 20+ years of experience building backend and platform systems and leading teams to deliver business-critical software.He specializes in translating complex technical challenges into scalable architectures, clear roadmaps, and high-impact delivery—while growing strong, autonomous engineering teams.
Jiří also teaches and lectures at Czech universities, connecting foundational computer science with real-world engineering practice. At AI Heroes, he’s speaking to help teams ship LLM-powered products more reliably by bringing a pragmatic engineering lens to how we design, ground, and evaluate language-model systems in production.

Enrico Pulvirenti

Senior Android Developer – The Trainline

Teaching AI How You Work: Building Systems That Automate Human Expertise

Enrico Pulvirenti has spent the last decade building Android applications, currently leading Android community initiatives at Trainline as a Senior Android Engineer. His recent focus is on practical AI automation – building systems that capture and reproduce how experts actually operate rather than relying on generic tools. He’s passionate about developer experience, making AI personal, and the honest evaluation of when AI adds value versus when traditional automation wins. Enrico is speaking at AI Heroes to share real lessons learned from building personalized AI systems and to demonstrate that the competitive advantage in AI comes from encoding your team’s expertise, not just using generic tools.