Ariel Persiko
About Ariel Persiko
Ariel Persiko is an A.I Algorithm Engineering Team Leader at Aidoc Medical, where he has worked since 2020. He has a Master's Degree in Computer Science from Tel Aviv University and has extensive experience in deep learning and natural language processing.
Work at Aidoc
Ariel Persiko has been serving as the A.I Algorithm Engineering Team Leader at Aidoc Medical since 2020. In this role, he oversees projects that utilize advanced Deep Learning techniques in Computer Vision. He leads a team focused on deploying algorithms in production at scale, ensuring that these algorithms align with product requirements. His contributions include initiating the use of Deep Learning based Natural Language Processing (NLP) within the organization, which has strategic implications for various projects.
Previous Experience
Before joining Aidoc Medical, Ariel Persiko worked as a Principal Algorithm Researcher from 2017 to 2020. His earlier experience includes serving as a Researcher Team Leader from 2013 to 2015 in the Tel Aviv Area, Israel. Additionally, he was a Trainee in the Talpiot Program from 2008 to 2011. These roles provided him with a solid foundation in algorithm research and development.
Education and Expertise
Ariel Persiko holds a Master’s Degree in Computer Science from Tel Aviv University, where he studied from 2012 to 2016. He also earned a Bachelor of Science in Computer Science from The Hebrew University of Jerusalem, completing his studies from 2008 to 2011. His educational background supports his expertise in algorithm engineering and research, particularly in the fields of Deep Learning and Natural Language Processing.
Research and Development Contributions
In his current role at Aidoc Medical, Ariel Persiko conducts complex research and causal performance analysis on algorithm performance for new medical conditions. His work involves overseeing the implementation of state-of-the-art Deep Learning technologies, which enhances the capabilities of medical imaging solutions. His initiatives have contributed to the strategic development of AI applications in healthcare.