Yossi Cohen's Email & Phone Number

💼 Past Experience

For the last 15 years, Yossi Cohen has been working in the field of computer software development. He has experience in developing video and vision algorithms, system architecture, hardware architecture, C++, Mobile Devices, Software Design, FPGA, Video Processing, Video Compression, Android, MPEG2, OOP, Streaming Media, Embedded Software, Digital Signal Processors, Ffmpeg, Data Science, Device Drivers, Embedded Systems, Software Development.

🎓 Education

After school, Yossi Cohen started working in the programming area. In January 2018, he got his degree in Nano-degree Autonomous car Self-driving-car-engineer from the Udacity.This, in turn, brought him to the field of computer engineering and his current work readiness, based on his previous education, is in the field of Bio Medical Engineering.This is where Yossi Cohen is most impressive. His education and work readiness have come as a package, so that he is just as proficient in computer engineering and Bio Medical Engineering as he is in other areas.He is highly skilled in this area and is slowly but surely making his mark in the field. His skills and attitudes lead him to be the perfect choice for any role in the business world. He is highly motivated and has a strong work ethic.He is also highly literate, which is a plus for any role in the business world. He is already proficient in English and is working on perfecting his skills in this language.All together, these combine to make Yossi Cohen the perfect choice for any business role. He has the skills, attitude, and Literate to VISION degree that are all essential for success.

💡 Technical & Interpersonal Skills

Born and raised in Tel Aviv, Yossi Cohen is a graduate of the MIT Media Lab and has been working in the field of electronic video and graphic arts since he was 15 years old. He has experience in various programming languages, including C++, Java, Flash, MPEG, OOP and Ffmpeg, among others. Cohen is currently the Chief Technology Officer at DSP-IP.He has been involved in various research projects in the area of video compression, with a focus on image and video codecs for mobile devices, advertising, and audio/video streaming, and embedded software for consumer and military devices. He is also a member of the advisory board of Ottopia and the R&D team at FarmSee. Cohen is also a self-taught data scientist with experience in machine learning, data analysis, and deep learning.