VARANASI SATYA SREEKANTH

Varanasi Satya Sreekant has a diverse work experience in the field of AI/ML, research, and project internship. They are currently working as a Senior Software Engineer at DIMAAG-AI since February 2022. Previously, they worked as a Ph.D. candidate at the Department of Avionics, Indian Institute of Space Science and Technology starting from January 2018. Before that, they served as a Research Fellow at the National Atmospheric Research Laboratory, Department of Space, India from March 2017 to March 2022. Additionally, they gained valuable experience through a project internship at NATIONAL REMOTE SENSING CENTRE-I.S.R.O from November 2015 to October 2016.

From 2009 to 2013, Varanasi Sreekanth pursued a Bachelor's Degree in Electronics and Communication Engineering at PSCMR. VARANASI then enrolled in PVP Siddhartha Institute of Technology, where they obtained a Master's Degree in Microwave and Communication Engineering from 2014 to 2016.

In 2017, Varanasi Sreekanth joined the National Atmospheric Research Laboratory, Department of Space, India, to conduct research in Machine Learning, Adaptive Signal Processing, Lidar, Sensors, and Instrumentation Engineering. VARANASI completed this research program in 2022.

In 2018, Varanasi Sreekanth started pursuing a PhD at the Indian Institute of Space Science and Technology, specializing in Machine Learning for Signal Processing. VARANASI is expected to complete their Doctor of Philosophy degree in 2023.

As for additional certifications, Varanasi Sreekanth obtained the "Fundamentals of Reinforcement Learning" certification from Coursera in October 2022. VARANASI also earned the "Sampled Based Learning Methods" certification from the University of Alberta and Coursera in the same month and year.