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Serg Chaika is a distinguished AI and software engineer, recognized as a Founding Engineer at You.com. He has played a pivotal role in developing and scaling innovative AI-powered search and chat products. With a strong background in machine learning, large language models (LLMs), and natural language processing (NLP), Serg has been instrumental in building the core AI infrastructure and features that define You.com's unique user experience. His work focuses on creating intelligent systems that understand and respond to user queries with high accuracy and relevance. Before his contributions at You.com, Serg gained valuable experience in leading tech environments, further honing his expertise in building robust and scalable software solutions. He is passionate about the potential of AI to revolutionize how people access and interact with information.
Serg Chaika's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Key member of the initial team that built You.com, contributing significantly to its AI architecture, search algorithms, and development of its conversational AI capabilities from the ground up.
Led and contributed to the creation and iteration of core AI models and systems that power You.com's search engine and AI chat functionalities, focusing on relevance, accuracy, and user experience.
Instrumental in designing and implementing scalable AI infrastructure to support millions of users and complex queries, ensuring high availability and performance of AI services.
Contributed to practical applications and refinements of large language models (LLMs) within a commercial product, enhancing You.com's ability to understand nuanced queries and generate coherent, useful responses.
National Technical University of Ukraine 'Kyiv Polytechnic Institute' - Year 2006
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GetOrder.Biz is a SaaS company providing a comprehensive suite of digital solutions for restaurants. Their offerings include online ordering systems, Point of Sale (POS) integration, delivery management systems, and a driver app, complemented by reports and analytics for all operational aspects. The company aims to empower restaurants to increase their sales, streamline operations, and reduce costs by digitizing their processes from order intake to delivery and analysis.
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