Turn AI from an ambiguous idea into a real capability in your business.
I help executives and engineering teams find the right problem, make the path to execution small and measurable, and transfer the new capability to the internal team.
The guided AI workflow starts with a few focused questions; you review the summary and consent before anything is submitted.
Experience matters when it can be explained.
I write about the work with clear boundaries: my role, the problem, and what still needs verification.
We start where the problem is clearer than the technology excitement.
Every path starts with a specific question and moves forward only when the value is clear.
AI readiness and opportunity discovery
We examine process, data, team, and risk, then prioritize use cases by value and feasibility.
A bounded, measurable pilot
We clarify scope, KPIs, human-in-the-loop, and stop conditions before building a large solution.
Engineering leadership and enablement
We transfer ownership, knowledge, and operating practices to the internal team.
Not an outside advisor detached from the team; not a demo builder.
I create a shared language across business, product, data, and engineering so decisions are valuable, executable, and maintainable.
A few stories of building teams and systems
Building a multidisciplinary engineering organization
Helped shape the engineering structure and establish AI, software, data crawling, and automation units.
Building an enterprise platform technology roadmap
Built an international team and led the technology roadmap for the Sihri enterprise OTA platform.
Modernizing an e-commerce architecture
Helped build backend and frontend teams while guiding a migration to independent services with CI/CD.