Adi Erteschik
About Adi Erteschik
Adi Erteschik is a developer at Neura Inc, where he has contributed to the development of the company's SDK and implemented privacy-preserving machine learning solutions. He holds a Bachelor of Design in Visual Communications from Bezalel Academy and a Bachelor of Science in Computer Science from The Hebrew University of Jerusalem.
Work at Neura Inc.
Adi Erteschik has been employed at Neura Inc. as a Developer since 2014. In this role, he has contributed to the development of Neura's SDK, which employs machine learning algorithms to enhance user engagement by analyzing user behavior and context. He has also been involved in creating real-time triggers for Neura's products, which facilitate personalized user experiences based on the physical world context. Additionally, he played a key role in implementing privacy-preserving machine learning solutions, ensuring the protection of user data while delivering valuable insights.
Education and Expertise
Adi Erteschik is pursuing a Bachelor of Design in Visual Communications at Bezalel Academy of Art and Design, a program he has been involved with since 2014. Prior to this, he studied Computer Science at The Hebrew University of Jerusalem, where he earned a Bachelor of Science degree from 2011 to 2014. His educational background equips him with a solid foundation in both design and technology, which supports his work in developing user-centric solutions.
Background
Before joining Neura Inc., Adi Erteschik worked as a Web Developer at Iridize for a brief period of four months in 2013. This experience in web development contributed to his skill set and understanding of user interface design and functionality. His professional journey reflects a consistent focus on technology and user engagement.
Contributions to Machine Learning
At Neura Inc., Adi Erteschik has made significant contributions to machine learning initiatives. His work includes the development of solutions that leverage machine learning to enhance user experiences while maintaining user privacy. By implementing privacy-preserving techniques, he ensures that user data remains secure, which is crucial in today's data-driven landscape.