Hi, I'm Roman Di Domizio,

an AI product leader and engineer focused on architecting intelligent, agentic systems. My full-stack computer science background provides a systems-level perspective, allowing me to lead product strategy, define technical roadmaps, and execute with hands-on development. I am driven to solve complex challenges by researching, designing, and building the next generation of autonomous systems.

Roman Di Domizio Headshot

My Journey

My path into technology started with a computer science degree from CU Boulder. Early on, I discovered a passion for how different fields intersect, blending elegant design principles with the immersive experiences of gaming and the solid engineering of full-stack development. To me, these are not isolated skills but complementary parts of a whole. Crafting an intuitive user experience in a complex simulation shares the same core challenges as in a compelling game. My work building full-stack applications has given me a deep understanding of how to translate these ideas into reality, from database architecture to the final user interface.

AI in Action

This systems-level perspective is the foundation of my work in AI, where I focus on building and leading the development of agentic systems. It’s a role that spans the full product lifecycle, from hands-on engineering and architecture to strategic leadership. At The Verse, for example, I led the AI product strategy for the WalkXR therapeutic platform by authoring the 0-to-1 roadmap for its multi-agent OS, designing the agentic framework with LangGraph, and engineering the core RAG system. A key part of this was developing a constitutional AI safety layer with an RLAIF/DPO loop for continuous model alignment. My current contract work at WeOwn Labs expands on this foundation, as I contribute to AI agent research and tackle new challenges in agentic frameworks and Web3 integrations.

Future Focus

My work architecting agentic frameworks has clarified my long term focus. The core principles of building systems that perceive, reason, and act are the same ones that drive the future of autonomy. I see a direct line from my experience with multi agent systems to the complex challenges in aerospace and defense, such as autonomous navigation, intelligent reconnaissance, and sophisticated human AI teaming.

My goal is to apply my skills in AI strategy and systems architecture to these critical domains. I am pursuing roles where I can contribute to the entire lifecycle of these technologies, from initial design and prototyping to product management and deployment. Whether as a software engineer building the core systems or as a product manager guiding the strategic vision, my focus remains the same: to build robust, reliable, and impactful autonomous systems.

Education Goals

To deepen this interdisciplinary expertise, I am currently pursuing a Master of Science in Artificial Intelligence and a Graduate Certificate in Engineering Management at CU Boulder. This dual program provides me with advanced AI knowledge and the strategic leadership, product strategy, and systems thinking skills essential for spearheading ambitious projects. I am actively seeking technical product manager or software engineering roles where I can apply this combination of deep technical understanding, design intuition, and strategic insight to deliver impactful AI solutions.

Beyond Tech

Beyond my technical pursuits, I balanced my undergraduate studies as a D1 ACHA hockey player. I continue to enjoy staying active, whether it's on the ice, snowboarding, hiking, biking, or at the gym.

Technical Toolkit

Programming Languages

Python, TypeScript, JavaScript, SQL

AI/ML Engineering

LangGraph, RAG (LlamaIndex, ChromaDB), LLM APIs (Ollama, OpenRouter), prompt engineering

Modeling & Alignment

RLAIF, RLHF, constitutional AI, fine-tuning (LoRA/QLoRA), evaluation (LangSmith)

Tools & Platforms

Docker, Kubernetes, DigitalOcean, GCP, Vaultwarden, Heroku, Git/GitHub, Streamlit, Jupyter, n8n

Application Development

React Native, Node.js, MongoDB, MySQL, Unreal Engine 5, WordPress (Fluent stack)

Product & Systems

Agile (Scrum, Kanban), Notion, Jira, Figma, Miro, decentralized infrastructure