I turn complex product systems into clear decisions.
I lead product across four health SaaS products, build AI-powered tools, and design the measurement and safety boundaries that make them useful in the real world.
AI is a product constraint system, not a feature label.
01
Start with the decision
Define who needs to decide what, before choosing a model or interface.
02
Measure the path
Pair outcome metrics with adoption, correction load and guardrails.
03
Design the boundary
Make uncertainty, human approval and safe failure part of the product.
04
Ship to learn
Use the smallest release that can disprove the riskiest assumption.
Current R&D direction · In design
A safe, resource-efficient AI assistant for dental operations
I lead the end-to-end product framing for an R&D proposal covering role-controlled retrieval, schema-constrained tool use, explicit human approval, evaluation design and commercialization. Clinical decisions remain out of scope; administrative actions begin as reviewable previews.
PhD candidate in Business Management at Istanbul University, researching demand estimation with machine learning under uncertainty. MSc and BSc in International Logistics Management from Yaşar University.
Open to a useful conversation
Building an AI product—or untangling a difficult one?
I’m always interested in thoughtful conversations about product leadership, AI systems and ambitious side projects.