I am Utkarsh Sharma, a graduate student at North Carolina State University, pursuing my MS in Computer Science with a Master's Thesis on the applications of AI and ML in cellular networks (5G onwards). I have a solid foundation in computer engineering from Thapar Institute of Engineering and Technology, where I graduated in 2022.I have over a year of experience as an Associate Software Developer at Oracle, where I implemented enhancements and new features to our product in a UI engineering role, using web development technologies like JavaScript and Oracle-JET. I also performed the automation of our UI pages using Selenium. Before this, I had worked as a Product Development Intern at Oracle for seven months, gaining exposure to various aspects of software development lifecycle.My passion for data science and generative AI has driven me to further develop my skills through relevant coursework and research projects. I am currently working as a Research Assistant at NC State University, where I am reviewing existing literature on network slicing and open RAN architecture, and designing and developing a safe and reliable learning algorithm for resource allocation in open RANs, under the supervision of Dr. Liu. I have also completed several certifications related to data science and AI, such as Data Science Foundations: Fundamentals, Career Essentials in Generative AI, and Introduction to Artificial Intelligence, issued by LinkedIn Learn and Microsoft.I have researched ways to mitigate the performance degradation on classification of the out-of-distribution (OOD) data when a deep neural net is compressed using Pruning or Distillation.I also have expertise in various machine learning techniques such as regression, classification, and clustering algorithms, as well as NLP techniques like sentiment analysis, vectorization, POS tagging, lemmatization, stemming, and topic modeling. I have also extensively explored OpenCV, Image Processing, Object Detection techniques, and various Deep Learning Algorithms, such as Generative AI, DNN, and RNN. I am proficient in programming languages such as C/C++, Python, and R, enabling me to approach problems from different angles and choose the most effective solutions.I firmly believe in the power of teamwork and effective communication to drive successful outcomes. I am always eager to learn new things and challenge myself, and I aspire to become a Data Scientist and an ML/AI expert in the future. Let's connect!