Artificial/Machine Learning Engineer of four and a half years' tenure, with a proclivity for constructing, implementing, and augmenting the varied architectural machine learning models at General Electric (GE). Adept in the realm of data science and its affiliated disciplines, including but not limited to: Deep Learning, Machine Learning, Artificial Intelligence, and Programming. The revolutionary nature of these fields continually invigorates my desire to delve deeper into them. I have master's degree in AI and Robotics from the University of Sapienza, Rome, Italy, as well as a bachelor's degree in Computer Science from the National Institute of Technology (NIT). At present, I am first-year PhD student enrolled at the Data Science department of the University of Sapienza, I am engaged in research under the supervision of Professor Fabrizio Silvestri. The focus of the research pertains to Graph Neural Networks (GNNs), specifically, how to enhance their efficiency in situations where the practical graphs are impeded by restricted and ambiguous labeling.