Ahmed Gaber

Principal Embedded Software Engineer at Brightskies

Ahmed Gaber has a diverse work experience in various roles and industries. Ahmed started their career in 2014 as an Embedded System Engineer at Made In Alex (MIA), a technical team specializing in robotics development. During their time at MIA, Ahmed participated in multiple national and international competitions, achieving notable rankings and representing Egypt.

In 2016, Ahmed joined the Chipions Program at the Egypt-Japan University of Science and Technology (E-JUST). This program aimed to enhance their skills in digital design using Verilog HDL and FPGA.

Ahmed then worked as an undergraduate researcher at The City of Scientific Research and Technological Applications, focusing on Human-Computer Interface research. Ahmed contributed to the development of a solution called "Brain crucible" to address stress and lack of focus among students.

In 2017, Ahmed became a Robotics & Programming Instructor at Innova STEM Education, where they provided instruction in robotics and programming to students.

Ahmed later joined Fruitful Solutions in 2018 as a Deep Learning Developer, gaining experience in the field of artificial intelligence.

In 2019, Ahmed worked as an Embedded Software Engineer at Sprints, followed by a role as ADAS and Embedded Software Engineer at Brightskies. Currently, they hold the position of Senior Embedded Software Engineer at Brightskies.

Ahmed's work experience showcases their expertise in embedded systems, robotics, software development, and research.

Ahmed Gaber completed their education history as follows. From 2013 to 2018, they attended the Faculty of Engineering Alexandria University, where they pursued a degree in Electronics and Communications Engineering, achieving a "Good" rating. Prior to that, from 2011 to 2013, they attended Alabsiya, where they earned an excellent rating of 99.4%, although the specific field of study is not provided.

In addition to their formal education, Ahmed Gaber has obtained several certifications. In December 2018, they completed the following courses: Convolutional Neural Networks, Deep Learning Specialization, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Sequence Models, and Structuring Machine Learning Projects, all from Coursera. Ahmed also completed a course on "Get Started with Git and GitHub" from Udemy. Furthermore, in October 2018, they completed the course "Neural Networks and Deep Learning" from Coursera. Earlier, in February 2016, they completed the course "Real Time Operating Systems (RTOS) Course" offered by IEEE AlexSB.

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