About neurex.dev
Dylan Berry
Founder and principal trainer. Twenty years in technology consulting, the last eight in Azure Databricks data platforms, and a daily builder with the same agentic tools he teaches.
About neurex.dev
Founder and principal trainer. Twenty years in technology consulting, the last eight in Azure Databricks data platforms, and a daily builder with the same agentic tools he teaches.
Dylan Berry is the founder of neurex.dev, where he trains teams and leaders to wield agentic AI tools with consistency, reliability, and precision. He builds the curriculum, delivers the workshops, and coaches the executive sessions.
His approach comes from more than 20 years of professional technology consulting. For the last eight years, he has focused on data platform architecture: designing and engineering production systems on Azure Databricks, including data engineering, governance, and agentic AI workflows. Before that, he worked across DevOps and mobile development, building CI/CD pipelines, infrastructure as code, cloud architecture, and cross-platform apps that shipped to production.
He has trained professionals and practitioners through formal workshops, internal training programs, hackathons, community events, and one-on-one mentoring. He founded the Toronto Mobile .NET Developers, a community of more than 800 developers, and served as volunteer advisor to Centennial College's Mobile Applications Development program.
Based in Toronto, he builds with the same agentic tools he teaches, and writes about what works at dylanberry.com.
Every engagement starts with discovery sessions that look at your stack, your tools, your constraints, and the work your team actually does. The curriculum is then shaped around that, which is why the syllabus you receive is customized rather than generic.
Participants bring tasks and features from their own backlog. By the end of the second day, the work they practiced on is work they can ship, and the starter kits travel back with them.
The curriculum teaches agentic tools alongside the discipline that keeps their output trustworthy: deterministic tests, verification contracts, review workflows, and deployment gates that catch problems before production does.
Training covers the leading agentic platforms of 2026 across development, knowledge work, and data engineering, and it teaches principles that transfer when the tools change.
20+ years in professional technology consulting, across data, cloud, DevOps, and mobile
8 years in data platform architecture, building production systems on Azure Databricks: data engineering, governance, and agentic AI workflows
Before that, CI/CD pipelines, infrastructure as code, cloud architecture, and cross-platform applications shipped to production
Founder of the Toronto Mobile .NET Developers, a community of more than 800 developers
Volunteer advisor to Centennial College's Mobile Applications Development program
Based in Toronto, working with teams onsite and online
LinkedIn for professional background and client conversations
GitHub for the tools and experiments behind the curriculum
Mastodon for day-to-day notes on agentic development
dylanberry.com for writing about what holds up in production
Tell me where your team is with agentic tools and which track looks closest. Every engagement starts with a no-obligation discovery call.
Prefer email? hello@neurex.dev
If that discovery call does not surface a concrete plan for your team, you don't pay for it.