I am Pravallika Kambhampati, a first year Master's student in Computer Science at the University of Minnesota, Twin Cities (UMN). I am highly interested in exploring the intersection of deep learning and computer vision. I am actively looking for reasearch opportunities in these areas to enhance my skills, contribute to cutting-edge advancements, and make a meaningful impact.
Previously, I worked at Cisco Systems as Networking Consulting Engineer for 1.5 years, where I provided business critical network insights to Boeing Co. and Expedia Group to maximum performance and reliability in their infrastructure networks. During my time at Cisco, I contributed to a patent by introducing Customer Experience Network Comparison and Pain Point Tracking feature that utilizes conditional Generative Adversarial Networks (GAN). I also lead a cohort of interns on a project called Similar TAC Cases Recommendations which utilized NLP techniques and Cisco APIs to identify and categorize similar customer tickets.