Ido Faran

Ido Faran

Software Group Lead @ AppsFlyer

About Ido Faran

Ido Faran is a Software Group Lead at AppsFlyer, where he has worked since 2023, leading a team of 20 engineers. He has a strong academic background in Computer Science and Applied Mathematics, holding a PhD and extensive experience in software engineering and product leadership.

Current Role at AppsFlyer

Ido Faran serves as the Software Group Lead at AppsFlyer, a position he has held since 2023. In this role, he leads a group of 20 software engineers, which includes professionals specializing in Backend, Fullstack, and Quality Assurance (QA). His leadership focuses on enhancing the development processes and ensuring the delivery of high-quality software solutions.

Previous Experience at AppsFlyer

Before becoming the Software Group Lead, Ido Faran worked at AppsFlyer as a Software Team Leader from 2021 to 2023. During this time, he contributed to various projects and initiatives that aimed to improve the company's software offerings and development practices.

Career at Cylus

Ido Faran held multiple positions at Cylus, starting as a Senior Software Engineer from 2017 to 2019. He then advanced to the role of Director of Product from 2019 to 2021. His work at Cylus involved overseeing product development and engineering efforts, contributing to the company's growth in the cybersecurity sector.

Military Intelligence Background

Ido Faran has a background in Israeli Military Intelligence, where he worked as a Software Engineer from 2012 to 2015 and later as an R&D Team Leader from 2015 to 2017. His experience in this environment provided him with a strong foundation in software development and team leadership.

Educational Background

Ido Faran has an extensive educational background from Bar-Ilan University. He earned a Bachelor’s Degree in Applied Mathematics from 2009 to 2012, followed by a Master of Science in Computer Science from 2016 to 2019. He is currently pursuing a Doctor of Philosophy (PhD) in Computer Science, which he began in 2019. His academic focus includes Machine Learning, which supports his engineering leadership.

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