Karol Sabat

Karol Sabat is a software concept architect at Artificial Worlds, specializing in developing collectible card, strategic games, and intelligent software like Athena AI.

With a strong background in machine learning, Karol is well-versed in Tensorflow, Keras, ML.NET, Microsoft's LUIS, speech detection, and Azure's services.

Karol is the architect behind Athena AI, an advanced neural network that leverages machine learning to facilitate endless learning.

Having worked for corporations like Intel, LG Electronics, and Tieto, Karol has in-depth experience in software development, integration, and research consultancy.

His expertise spans real-time systems development, applications design, and embedded software development, with a keen interest in machine learning, neural networks, and USB interface or Network/Telephony areas.

Karol's skill set includes proficiency in C, C++, C#, clearCase, Git, and database administration/development, geared towards creating efficient and reliable software solutions.

He holds a degree in Photonics from Wroclaw University of Science and Technology.

Karol's specialties encompass application and game design, LTE, protocols, data analysis, signals processing, and software integration.

His commercial experience includes developing real-time systems using C, C++, and occasionally Assembler, as well as designing applications with various technologies including ASP.NET Core, Angular, Entity Framework, MVC, UWP, WPF, and utilizing .NET, MVVM, WCF, multithreading, and database access.

Karol Sabat's career has included roles such as Software Architect at Artificial Worlds Ltd., Embedded Software Engineer at Intel Corporation, Software Engineer at Tieto, and Consultant at ST-Ericsson, showcasing his versatility and expertise in the software industry.