I build production AI systems for real businesses
and design them so people can actually trust, understand, and use them.
I am an AI Product Engineer working across LLM systems, product architecture, workflow automation, and design systems.
My background started in architecture, moved through brand and UX design, then into AI product engineering. That path shaped how I think: every product is a system, every system has human behavior inside it, and every AI feature needs to earn trust before it creates value.
Currently, I work at ePlanet Brokers, where I help turn executive AI strategy into production systems for a live fintech platform with 20,000+ active users.
My work combines:
- AI system architecture
- RAG pipelines
- Agentic workflows
- CRM-connected automation
- Human-in-the-loop content systems
- Product UX
- Figma design systems
- Business process redesign
- AI implementation strategy
Before ePlanet, I co-founded NexaPortal Group, an AI product studio where I helped build three products, worked with a 12-person team, and shipped award-winning digital products in healthtech, CRM, and brand systems.
I am currently based in İzmir, Turkey, and targeting Berlin, Germany for the next chapter of my career.
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I design how AI products should work before they are built. This includes system flows, product logic, AI boundaries, user journeys, data access patterns, and the connection between business requirements and engineering execution. Focus areas
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I work on AI systems that need to survive real users, real workflows, and real business constraints. Not demos. Not toy chatbots. Systems with compliance concerns, operational needs, and measurable business impact. Focus areas
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I build design systems that help products scale. My design background is not separate from my AI work. It is the part that helps AI products become usable, consistent, and trusted. Focus areas
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I translate between founders, executives, designers, engineers, and business teams. Most AI projects fail because the business goal, user need, data reality, and engineering approach are not aligned. My work is to connect those layers. Focus areas
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| Award | Project | Category | Year |
|---|---|---|---|
| A' Design Award Bronze | Artemis Clinics | Mobile Technologies & Software Design | 2025 |
| A' Design Award Iron | Quiksip | Packaging Design | 2024 |
I believe the next generation of valuable AI products will not be won by whoever adds the most AI features.
They will be won by teams that understand:
- What the user actually needs
- What the business workflow actually requires
- What the data can actually support
- What the model can and cannot safely do
- Where humans must remain in control
- How trust is designed into the interface
AI products need more than prompts.
They need architecture, UX, data boundaries, workflow logic, and operational discipline.
That is the space I work in.
I am building toward a career at the intersection of:
AI Systems
Product Leadership
Design Engineering
Business Automation
European AI ImplementationThe goal is not to simply use AI.
The goal is to build AI products that create measurable value, reduce operational waste, improve decision-making, and remain usable by real people inside real organizations.
Built with clarity, structure, and production reality.