Product direction
I lead product strategy for Cuevo, shaping connected learning workflows and personalized next steps for learners, educators and institutions.
I lead product direction and contribute to the architecture and engineering of Cuevo, E Deviser’s learning-intelligence product in development.

Cuevo brings curriculum, learning activity, assessment evidence and feedback into a connected experience for learners, educators and institutions. The product is being developed in English and Arabic, with support for right-to-left experiences. My work at E Deviser connects product direction with engineering and agentic intelligence, including evidence-grounded recommendations for what a learner or class should do next.
Retrieval and agentic intelligence form part of my product and engineering work on Cuevo at E Deviser.
I lead product strategy for Cuevo, shaping connected learning workflows and personalized next steps for learners, educators and institutions.
I contribute to architecture and development for the needs of educators, learners and institutions, with Arabic and English experiences.
My work includes agentic and retrieval-augmented systems with controlled autonomy, alongside testing, security and observability practices.
Identify the learner or class, the curriculum and the question that needs attention.
Bring permitted assessment, activity and feedback evidence into the request.
Connect the evidence with a recommendation, rationale and uncertainty.
Keep consequential decisions subject to educator or human approval.
Use subsequent activity and feedback to inform the next learning decision.
A useful learning recommendation needs the right curriculum and learner context. Retrieval should preserve access boundaries and make the evidence understandable.
A recommendation and authority to act are separate concerns. Consequential educational decisions need a clear human review boundary.
English and Arabic experiences need consistent meaning, readable right-to-left layouts and usable learning workflows.
Cuevo is the product; E Deviser is the company. The system sequence summarizes agentic learning workflows and is not a deployment diagram. The cover is original concept art; the considerations describe design tensions rather than claim particular released behavior.