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Shai Sharabi is a distinguished technologist and entrepreneur, best known as the Co-founder and CTO of Tabnine (formerly Codota). With a strong background in artificial intelligence and machine learning, Shai has been at the forefront of developing AI-powered tools to enhance software developer productivity. His work primarily focuses on leveraging large language models and deep learning techniques to understand code context, provide intelligent code completions, and assist developers in writing better code faster. Shai is passionate about the intersection of AI and software engineering, driving innovation in how software is created and maintained. He has led engineering teams in building complex, scalable AI systems that serve millions of developers globally.
Shai Sharabi's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded and leads the technological vision for Tabnine, a leading AI code assistant used by millions of developers worldwide. He has been instrumental in developing its core AI capabilities, scaling the platform, and establishing it as a key tool in the developer ecosystem.
Spearheaded innovative research and development in applying machine learning, particularly deep learning and large language models, to understand, complete, and generate software code, significantly advancing the field of AI-assisted software development.
Successfully built and managed high-performing engineering teams dedicated to solving complex AI challenges, fostering a culture of innovation and excellence in software development.
Actively contributes to the discourse on AI's role in software development through articles, talks, and industry engagement, sharing insights on the future of coding and developer productivity.
The Hebrew University of Jerusalem - Year 1997
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Segmanta is a survey platform that enables businesses to create interactive and engaging surveys to collect customer feedback and insights. It focuses on improving response rates and data quality through conversational survey experiences, helping companies make data-driven decisions for marketing, product development, and customer satisfaction.
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