About

Amit Rai is a highly experienced 5G RF Solution Architect with over 14 years of relevant experience in the telecommunications industry. Currently working at Ericsson as a 5G RAN Solution Architect, he is responsible for designing 5G solutions as per customer requirements, from initial lab setup to system design, feature verification, and network launching. He is also well-versed in all types of traces related to NR troubleshooting and has helped more than 4 operators globally to set up and launch 5G networks successfully. Amit has successfully designed and implemented various 5G networks in low band, mid band, and high band frequencies. He is responsible for meeting with customers to understand their market needs related to 5G and provide appropriate solutions. He is also responsible for 5G RAN-related issues troubleshooting, 5G KPI design and verification, 5G performance monitoring and optimization, and NFV-based network solution design. In the past, Amit has worked with Ericsson as a Specialist-RF Optimization, where he delivered various LTE deployment projects, including NB-IOT design and optimization for Vodafone Ireland, leading the 5G SLP program for GSC India, and delivering Batelco Bahrain Volte E2E Optimization. He has also worked with Ericsson Kuwait as a Ministry of Defence Kuwait LTE advance Network Deployment specialist. Amit holds a Bachelor's degree in Electronics and Communication Engineering from BSA College of Engineering and Technology and a Master's degree in Electronics and Communication Engineering from the Indian Institute of Technology, Roorkee. He has also completed his schooling from Queens College Varanasi. Amit's technical skills include Senior Software Engineering. He has supported various 5G projects, including NCE, DNA Finland, Mexico, Telcel, Mobily, Saudi Arabia, STC, Saudi Arabia, Etilsalat, UAE, Turkcell, Turkey, CHT, Taiwan, and Telkomsel, Indonesia. Amit is a highly motivated and dedicated professional who excels in delivering quality results and providing innovative solutions to complex problems.