About

Shobhit Mundra is a highly skilled Analyst at Goldman Sachs, with extensive experience in software engineering and neural networks. He completed his Bachelor of Technology in Computer Science from IIT Dhanbad in 2019, and has since gained 3.86 years of relevant experience in the field. Before joining Goldman Sachs, Shobhit worked as a Software Engineer at Samsung Networks Division, where he was part of the L2 (Mac) layer team in the 5G small cell team. He was responsible for developing and testing algorithms for high-level documents, coding for multiple handlers for changing various configurations with CLI commands, and identifying and resolving multiple bugs in block and unit tests for Indoor AU. He also created and modified Python-based automation scripts for overnight/long runs, as well as various Bash/ttl scripts for frequently happening activities for testing. During his time at Samsung Research and Development Institute in Bangalore, Shobhit worked as a Summer Intern in the SAIT Division. He designed a framework which takes input as MRI reports of patients at different time intervals, each MRI consisting of around more than 150 2D images, with the help of Convolutional Neural Network and by variation of architectures of the networks and results in the output of the new MRI inputs as Malignant/Benign. Shobhit's technical skills include software engineering, Python, mobile, and neural networks. He is a highly motivated and detail-oriented individual with a passion for problem-solving and a proven track record of delivering results. With his exceptional analytical and technical skills, Shobhit is an asset to any organization he works for.