Sajjad Soroori received a B.S. degree in software engineering from the University of Guilan, Iran, in 2013, and an M.S. degree in software engineering from the University of Guilan, Iran, in 2020. His research interest includes real-time object detection and tracking in videos by deep learning approaches, development of NLP processes in the Persian language, and study of new deep-learning-based solutions in computer vision. Soroori is a member of the computer vision association of the University of Guilan since four years ago and published four papers related to vehicle detection and automatic license plate recognition. He has 10+ years of experience in programming and played multiple roles in projects such as developer, leader, tester, designer, and presenter. He has done several projects as a team member and solo by technologies like Angular, React.js, TypeScript, GoLang, AWS, Firebase, GCP, PHP, Python Eve, T-SQL, NoSQL, Jest, Git, Serverless.