Vahid Farjood Chafi
About Vahid Farjood Chafi
Vahid Farjood Chafi is a software developer with extensive experience in network engineering and artificial intelligence. He has worked at Kaleyra since 2022 and previously held positions at several companies, including Università degli Studi di Siena and KheiliSabz.
Work at Kaleyra
Vahid Farjood Chafi has been employed at Kaleyra as a Software Developer since 2022. His role involves utilizing his programming skills and expertise in artificial intelligence to contribute to the company's software development projects. Kaleyra, known for its communication services, benefits from his background in intelligent systems and network engineering.
Education and Expertise
Vahid Farjood Chafi holds a Master of Science in Computer and Automation Engineering - Information Systems from Università degli Studi di Siena, where he studied from 2019 to 2022. He also earned a Bachelor of Science in Computer Network Engineering from the University of Applied Science and Technology between 2014 and 2016. Additionally, he obtained an Associate of Science in Computer Software Engineering from Islamic Azad University from 2006 to 2009. His education supports his advanced skills in machine learning algorithms and programming languages such as C++ and Python.
Background
Before joining Kaleyra, Vahid Farjood Chafi accumulated diverse experience in the field of network engineering and software development. He worked as a Senior Network Engineer at Respina Networks & Beyond from 2017 to 2019 and as a Network Telecommunications Engineer at Solico Group from 2016 to 2017. His earlier roles include serving as an IT Network & Operation Support Specialist at Savola Behshahr Company from 2013 to 2015 and as a Senior Network Consultant and Supervisor at KheiliSabz from 2018 to 2019.
Achievements
Vahid Farjood Chafi possesses advanced skills in both supervised and unsupervised machine learning algorithms. He has expertise in developing intelligent systems using AI technologies, including Convolutional Neural Networks (CNN), Long Short-Term Memory networks (LSTM), Recurrent Neural Networks (RNN), and Generative Adversarial Networks (GANs). His vision focuses on integrating AI into network engineering to enhance system intelligence and efficiency.