About

Raghuttam G Kulkarni is an experienced member with a strong background in the civic and social organization industry. He is a skilled professional in Machine Learning, Python, C++, Swift, and Data Structures. Raghuttam holds a Bachelor of Technology in Computer Science from Vellore Institute of Technology, Chennai. Currently, he is pursuing a Master of Science in Computer Science from Arizona State University, where he also works as a Course Grader. Raghuttam has a demonstrated history of working in the research industry and has contributed to various projects during his internships. He was one of the 100 students selected among 3000+ applicants for the research internship program at Arizona State University, where he contributed to an Open-Source Potree project with a new Custom Annotation Feature to help label. He also created a Save Button for Point Cloud Feature in the Potree and verified annotation behavior using PointNet CNN on Point Cloud Localization. Raghuttam has imbibed technologies such as Potree, JavaScript, HTML, and CNN during his internship. Furthermore, Raghuttam was one of the 7 Indians selected for an international research internship program at Nanyang Technological University. During his internship, he executed SenticNet to perform sentiment analysis on 1000 Climate Change tweets and discovered 200 ambiguous words. He also coded 4 python scripts to perform Data Extraction, Server Configuration, Validation, and Visualization. Raghuttam has imbibed technologies such as Python, NLTK, Twitter APIs, SenticNet, Visualization using Graphs, and Word Cloud during his internship. Raghuttam has relevant experience of 0.27 years and possesses a strong tech stack, including Python, Research Scientist, Sentiment Analysis, ML, CNN, Swift, and Javascript.