Tarek Dakhran

Tarek Dakhran has been working in the software engineering field since 2013. From 2013 to 2017, they worked at Samsung R&D Russia as a Leading Mobile Solutions Optimization Engineer, a Leading Compiler Engineer, and a System Software Engineer. In 2017, they moved to Eonite, where they developed a high-performance CUDA optimized library for computer vision and autonomous driving applications. In 2018, they joined Artisense Corporation as a Senior Software Engineer, where they were responsible for startup bring up, introducing CI, code style, and development processes, as well as porting a localization algorithm to an embedded platform. In 2020, they moved to Autonomous Intelligent Driving GmbH (now Argo AI) as a Senior Software Engineer, where they developed a Software Update over the air (OTA) for the testing fleet. Finally, they joined Recogni in 2022 as a Software Engineer.

Tarek Dakhran obtained a Master of Science (M.S.) in Mathematics from Lomonosov Moscow State University (MSU) between 2008 and 2013. Tarek has also obtained several certifications from Coursera, Udemy, Inc., and Coursera Course Certificates, including Motion Planning for Self-Driving Cars, Self-Driving Cars Specialization, Visual Perception for Self-Driving Cars, Introduction to Self-Driving Cars, State Estimation and Localization for Self-Driving Cars, The Rust Programming Language, Искусство разработки на современном C++ Specialization, Основы разработки на С++: черный пояс, Основы разработки на С++: коричневый пояс, Основы разработки на C++: желтый пояс, and Algorithms: Design and Analysis, Part 1.