Yurii Biurher is Head of A.I. at Zoral with nine years of experience leading R&D in deep learning, distributed computing, Big Data, and advanced predictive analytics. He designs and operationalizes AI/ML systems that ingest diverse signals—behavioral, social, telematics, IoT, biometrics, imaging, and voice—to power robo-underwriting, self-learning models, and fintech-enabled platforms. Comfortable across cloud, parallel architectures and genetic algorithms, he focuses on non-linear algorithms and data quality management to make models robust in production. Based in Kyiv and working for a Poland-based operation, he blends research-driven innovation with applied product delivery, routinely translating unstructured and mobile data into actionable predictive features. An unusual strength is his emphasis on integrating telematics and MNO data into core ML pipelines, giving Zoral differentiated inputs for risk and behavior modeling.
The RL3 Standard Library is a collection of modules accessible to a RL3 program to simplify the programming process and removing the need to rewrite commonly used RL3 patterns and predicates.
Contributions:27 commits, 1 PR, 22 pushes in 5 months
A chatbot framework and chatbot example implemented with RL3 and Python
Contributions:42 commits, 1 PR, 34 pushes in 7 months
chatbotbotpythonchatbot-framework
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.