About

Ramakanth A is a skilled Software Engineer with a focus on Python, MongoDB, Deep Learning, Linux, and Shell Scripting. He is currently working at Hughes Systique Corporation in the role of Software Engineer, where he is responsible for Python Development and Database Management in the Gateway Configuration Tool of the Jupiter system. Additionally, he is involved in the Development and Porting of Sip Stack and the Advancement of PJSIP modules compatible for Bare Metal and involved in the verification of PJSIP with AT Commands. With over 3 years of relevant experience, Ramakanth has a strong understanding of Deep Learning, Neural Networks, and Big Data. He has worked as a Research Scientist on O-RAN, an Open, interoperable interface, RAN virtualization, and big data and AI enabled RAN intelligence using Deep Learning and Neural Networks to improve a new value chain for RAN deployment. He has also been involved in Advancing The Admission Control xAPP, a prototype xAPP that can execute the full control loop to regulate the number of 5G connection requests at a gNodeB. Ramakanth has completed a Bachelor of Engineering in Information Science from New Horizon College of Engineering and a Computer Science degree from St. Joseph's Pre-University College. He has also completed a Neural Network and DL course authorized by DeepLearning.AI and Coursera, as well as an online course on SQL authorized by the University of Michigan offered through Coursera. Overall, Ramakanth is a highly skilled Software Engineer with expertise in Python, Deep Learning, MongoDB, and AI. His experience in research and development makes him a valuable asset to any team he works with.