Bayram Eker
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Bayram Yüksel Eker
Bayram Yüksel EkerFounder / Technical LeadNeura Parse

Founder / Technical Lead Neura Parse

Bayram Eker.

I founded and lead Neura Parse, where I work on AI and quantum systems. I bring research, engineering and product development together: choosing the questions, working with teams and partners, and testing what an idea can actually do before we turn it into a product.

My background is in public services, telecommunications and enterprise AI. Those projects taught me to care as much about how a system runs, and who is responsible for it, as how it is built.

Experience & CV

Available in three languages. Read online or download the two-page PDF.

MY PATHEngineering → leadership

From engineer to founder.

Building software for public services taught me the importance of correct data and a clear handover. Telecommunications added the challenge of keeping large platforms running. AI brought another question: how do we check an answer that sounds convincing but might be wrong? My final role at NETAŞ was Project Manager; I left the company in September 2026.

I founded Neura Parse to bring that experience into my own research and product work. Today I decide which questions we pursue, how we test them and when an idea is ready for a pilot. I try to be clear about what the technology can do and what we still need to learn.

How I lead the work

Three things guide me from a research question to a working product.

Research

I start with a useful question, a fair comparison and a way to find out whether our assumptions are wrong.

Product architecture

I turn what we learn into components with clear jobs, results people can check and responsibilities everyone understands.

Bringing projects to life

I work with teams and partners to agree the next step, then check that the technology, resources and responsibilities are ready.

CONNECTED WORK

How the work connects

Follow a project from its research question to the system, workflow or public code behind it.

Latest writing

Questions, lessons and experiences from my research and engineering work.

  1. An engineer arranges blank cards and a floor plan beside a sensor module, with a stationary mobile robot and a separate work cell in the background.

    What should a robot tell the person taking over?

    When a robot pauses, a person needs more than a status message. A useful AI summary explains what happened and makes the next step easier to understand.

  2. Bright studio concept of a precision-built measurement model with two input modules and two inspection apertures.

    When two quantum models fit, which control can we trust?

    Two different quantum models can explain the same measurements. A small one-qubit study asks what we can still promise about a control action.

  3. Program state enters a decision model; a typed result and its uncertainty pass to a policy in code before an action is taken.

    When software needs a decision, not another paragraph

    A billing message needs the right destination. TypeSafe’s Jev offers one way to turn an interpretation into a result that software can act on.

Publications and other records

You can explore my research, book, company and products on their own pages. Each includes sources, completed work and the questions we are still working on.

Keep exploring

Another way into the work.