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Irteza Kabir, Ph.D, currently serves as a Data Scientist at FLX AI, Inc., where contributions include employing advanced data science and machine learning methods to solve complex business challenges, particularly in the analysis of object presence and location in images. Prior experience includes a role as an Applied Machine Learning Researcher at the University of Rochester, focusing on healthcare data analysis and the development of algorithms for measuring tissue elasticity and innovations in tumor segmentation. Additional experience encompasses a Machine Learning internship at STEM-Away, utilizing web scraping and natural language processing techniques, and a Faculty Lecturer position at the Islamic University of Technology, where course responsibilities included lecturing and supervising student publications. Irteza Kabir holds a Ph.D. in Electrical and Computer Engineering from the University of Rochester, in addition to a Master of Engineering from the same institution and a Bachelor of Science from the Islamic University of Technology.