Carter Jiang is a self-motivated and detail-oriented Machine Learning Engineer II at Amazon Web Services (AWS), where they are currently developing advanced AI solutions that significantly enhance efficiency and reduce costs. Previously, Carter served as an Algorithm Engineer at Radius, and later as a Machine Learning Engineer at Cornell University, where they created models that improved power plant performance predictions and won the EPA EmPOWER air data challenge. They also contributed as a Computer Science Tutor and Teaching Assistant at the University of Massachusetts, where they obtained a BS in Computer Science, followed by a Master's degree from Cornell University. Currently, Carter holds the position of AI Fellow at Handshake, collaborating with renowned AI labs to drive innovation.
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