I build at the intersection of AI and data infrastructure. 20+ years in the space, from IT Help Desk to one of the founding members of Snowflake's GenAI GenAI practice ($0 to $100M ARR). Now helping shape the future of real-time AI at ClickHouse.
I live on the bleeding edge where uncertainty is high, but so is the reward. I consider myself AI-native: Claude Code is my daily driver, I architect while AI executes, and I ship things that didn't exist yesterday. Not because it's trendy, but because this is genuinely the most exciting time to be building.
Right now I'm obsessed with: agent architectures, AI observability, real-time data infrastructure, and figuring out what "AI-native engineering" actually looks like in production.
I believe the best way to understand a technology is to build with it. My repos reflect what I'm learning and shipping in real time.
Self-hosted observability for AI coding agents. Born from wanting to actually see what my AI tools were doing under the hood. Wrote about it on Substack, it hit 16K views in 6 days.
- Stack: Python, Shell, Docker, Langfuse, Claude Code
- Why it matters: If you're using AI coding agents without observability, you're flying blind
Official agent skills that teach AI coding tools (Claude Code, Cursor, Copilot) ClickHouse best practices. 28 rules covering schema design, query optimization, and data ingestion patterns.
- Stack: JavaScript, TypeScript, Agent Skills framework
- Why it matters: Domain expertise, packaged for the agent era
Languages: SQL, Python, Shell, TypeScript
AI: Claude Code, Langfuse, OpenAI, Anthropic, Gemini
Data: ClickHouse, Snowflake, Apache Spark, dbt
Infrastructure: Docker, AWS, GCP, Azure, CI/CD
Building with: Astro, Flask, Next.js, Streamlit
- Building AI & data infrastructure at ClickHouse
- Shipping open source tools for AI observability and agent development
- Writing "Distilling Data & AI" on Substack: practitioner frameworks and deep dives, not news curation
- Speaking circuit: TEDx, SaaS North, McGill, and more
- AI Circle Community - Montreal Lead
I write about what I build and what I learn from enterprise AI deployments. No fluff, no hype, just what actually works.
- Newsletter - "I Built X" tutorials and framework deep-dives
- LinkedIn - Daily insights on AI and data in production
- Twitter - Real-time technical commentary
- Speaking - Talks, keynotes, and workshops
- I'm the only "Doneyli" on the Internet (yes, look it up)
- Based in Montreal, where great poutine meets great tech
- TEDx speaker, co-authored an AI book (published 2025)
- Multi-lingual: Spanish, English, French
- Constantly learning, constantly building, constantly shipping
"The best way to predict the future is to build it."




