About
I build software products and operational systems, and I have spent much of my career turning practical problems into working businesses and tools.
Background
I am a Software Engineer and entrepreneur with experience building software products, operational systems and companies.
My entrepreneurial journey began with a penetration-testing company. Since then, I have built applications both for clients and as independent products of my own.
I later co-founded DALMATA, a hospitality company that grew to more than 50 employees. As Chief Product Officer, I was responsible for food and product development, sourcing, Food & Beverage operations, team training and R&D.
This experience gave me a direct understanding of operational complexity: inventory, procurement, production, training, quality control and the constant flow of information required to run a business.
Products
Yielda
Yielda is an AI-powered inventory management and business-intelligence SaaS.
It is designed to help businesses understand their inventory, analyze operational data and make better purchasing and management decisions.
The project combines software engineering, data analysis, business intelligence and applied AI.
Orduum
Orduum is an operational tool designed for wholesalers.
It automates the processing of daily orders and eliminates the need for manual order entry, reducing repetitive work and improving the reliability of the order workflow.
The product was built around a concrete operational problem: wholesalers receive orders through fragmented and often unstructured channels, forcing teams to repeatedly interpret and enter the same information into their systems.
Orduum transforms that flow into structured, actionable data.
How these experiences connect
My projects may operate in different fields, but they generally begin in the same way:
- Observe how people actually work.
- Identify repetitive tasks, constraints and sources of friction.
- Understand the underlying business rules.
- Design a simpler and more reliable workflow.
- Build the software or operational system required to support it.
- Test it against real usage and iterate.
I am particularly interested in problems where software, applied AI and domain knowledge can be combined to remove operational complexity.
That same approach also shapes my work in food R&D: understand the system, model the important variables, experiment and use the results to build a better product.