As a Machine Learning Research Assistant at University of North Carolina at Charlotte, I develop novel model architectures for multimodal data analysis, manipulate data from various sources, and establish rigorous validation frameworks for models. I have a strong background in Computer Engineering, with a focus on Artificial Intelligence, GPU and CPU Architecture, and Network Systems. I am currently pursuing my Master's degree in Computer Engineering at UNCC, where I have also completed my Bachelor of Science in the same field.I am passionate about learning as much as I can about all aspects of computers, and I constantly challenge myself to acquire new skills and take on new projects. I have gained valuable experience as a Product Marketing Engineer Intern at Texas Instruments, where I developed and presented a strategic pricing plan, enhanced customer experience on TI.com, and published content that showcases TI’s DLP product offerings. I have also worked as a Robotics and Imaging Engineer Intern at TIAA, where I automated QA testing in Java with selenium and cucumber, and engineered 18 QA bots for testing UI functions. I am skilled in Python, Microprocessors, Embedded C, Matlab, and Feature Engineering. My goal is to dedicate my life to advancing the field of machine learning and computer engineering.