DIGITAL DEMAND INTELLIGENCE
Making unseen
brand demand visible.
A technology venture focused on understanding and protecting how brand demand moves across search, advertising, and third-party platforms.
Technology entrepreneur · Founder
I’m Taşkın Uğurlu. I bring engineering, research, and entrepreneurship together. Building products across digital demand, financial technology, and health technology.
01 / VENTURES
Different industries, a shared focus: building technology that responds to a real need.
DIGITAL DEMAND INTELLIGENCE
A technology venture focused on understanding and protecting how brand demand moves across search, advertising, and third-party platforms.
FINANCIAL TECHNOLOGY
A digital finance platform that makes it easier to compare loans, credit cards, deposits, and other banking products.
HEALTH TECHNOLOGY & R&D
An R&D venture exploring artificial intelligence, digital biomarkers, and molecular data to translate scientific knowledge into health technologies.
Research and product development stage
02 / APPROACH
Behind a product are well-defined problems, tested assumptions, and people working together. My focus is bringing these parts into a coherent system.
A closer lookUnderstand the need, the context, and the root of the problem.
Bring research and engineering together around a usable product.
Build structures that remain clear, manageable, and reliable as they grow.
03 / WRITING
Success does not always strengthen systems; within poorly designed feedback loops, it can trap them inside their own assumptions. This article examines the same structural problem across different domains — from the Peter Principle to AI bias, from performative prediction to critical systems thinking: systems do not merely understand the world; they change it, and eventually, they can become trapped inside the world they created.
Why reducing the microservices decision to team size is misleading. This article reframes microservice architecture through complexity, system maturity, and organizational realities.
Learn five critical lessons from the architecture of the service that manages symbol data (SymbolService) to maintain reliable accuracy in crypto data pipelines: MongoDB A/B swapping, empty-snapshot protection, Redis fallback with a dual-event strategy, and secrets management.
04 / RESEARCH
Collaborative work on Turkish sign language, semantic analysis, language technologies, and the Internet of Things. A research foundation that informs how I build products today.
All publications ResearchGate profileASES VIII. Interational Health, Engineering and Sciences Conference
Erzincan University Journal of Science and Technology
Omer Halisdemir University Journal of Engineering Sciences
THE NEXT CONVERSATION
Let’s talk about technology, research, and long-term collaboration.
a.taskinugurlu@gmail.com