For technology, data, and engineering leaders
Turn AI into an engineering capability.
AI changes both what technology teams build and how they build it. I help teams adopt AI-enabled development, design reliable AI systems, and create the workflows and foundations needed to deliver at scale.
Three technical capabilities
- AI-enabled development
- Help development teams use AI effectively across planning, implementation, review, testing, documentation, and maintenance, while keeping engineering judgment, quality, and security visible.
- Reliable AI-enabled systems
- Design systems around the complete production reality: data, integrations, evaluation, permissions, human oversight, fallback, monitoring, cost, and operational ownership.
- Software factory foundations
- Create the reusable context, tools, workflows, standards, guardrails, environments, and feedback loops that make AI-assisted software delivery repeatable across teams.
A software factory is not simply more generated code
It is a repeatable system for turning intent into reliable software using shared context, engineering practices, tools, controls, and feedback.
AI can accelerate that system, but it cannot replace the foundations that make the output trustworthy.
A convincing output is not a production system.
A model can perform well in a demonstration while the surrounding system remains difficult to integrate, evaluate, secure, support, or operate.
The question is whether the complete system can make its output useful, measurable, reliable, and supportable.
Foundations that make technical adoption work
Context and data
What information does the AI need, where does it come from, and can it be used reliably?
Engineering workflow
Where does AI enter the development or operational process, and what still requires human judgment?
Evaluation and quality
How will the team determine whether outputs are good enough, detect regressions, and compare performance with a meaningful baseline?
Production reliability
How will permissions, security, monitoring, fallback, provider changes, incidents, cost, and performance be handled?
Ownership and improvement
Who owns the system after launch, reviews its behaviour, responds to problems, and improves it over time?
What I help technology teams put in place
- An AI-enabled development approach
- Clear practices for where AI helps across the software lifecycle, where human review remains essential, and how teams learn to use it effectively.
- A credible path to production
- Defined assumptions, architecture, integrations, evaluation, controls, operational requirements, and a bounded first implementation.
- A scalable delivery foundation
- Reusable workflows, tooling, context, standards, observability, guardrails, and feedback loops that can extend beyond one project.
Ways to work together
Engagements can start with one technical workshop or extend into ongoing advisory and hands-on implementation.
Technical workshops and training
Teach teams how to use AI across development and delivery, using practical workflows rather than tool demonstrations alone.
Technical advisory
Support technology leaders with architecture, tooling, build-versus-buy decisions, engineering practices, evaluation, governance, and adoption planning.
Hands-on implementation
Help design and implement AI-enabled workflows, production foundations, evaluation systems, developer tooling, or software-factory components.
Prefer email? Write to hossein@initialblock.com.
Governance has to appear in the engineering design.
Permissions, evaluation, evidence, human oversight, monitoring, change management, and stopping conditions cannot be added after the system is built. They are part of making it production-ready.
Relevant experience
- More than fifteen years building technology
- Nine years building operational infrastructure for financial firms
- Experience taking business and regulatory requirements into production systems
- MSc in Artificial Intelligence from the University of Amsterdam
This combination helps me connect what AI makes possible with what teams will actually need to build, test, secure, operate, and maintain.
Book a free call
Bring one engineering workflow, AI system, or delivery challenge.
In a free 15-minute call, we can discuss where you are today and whether a workshop, advisory engagement, or hands-on implementation would be useful.