Jae Ro is a seasoned machine learning engineer currently serving as the Lead Machine Learning Engineer at Virtualitics, where responsibilities include leading core GenAI initiatives and developing AI-enabled Readiness products for U.S. Federal customers. Prior experience at IBM as a Senior Machine Learning Engineer involved leading deep learning projects focused on classifying high-resolution acoustic patterns. Jae has a strong background in designing distributed streaming inference services and building geospatial AI solutions, having participated in a successful multi-vendor AI Challenge. Jae's career also includes roles as a Full Stack Developer at Randstad Technologies, a Graduate Research Assistant at Georgia Institute of Technology, and a Founding Machine Learning Engineer at Eden Learning, demonstrating expertise in data pipelines, software development, and analytics across various sectors. Educational qualifications include a Master of Science in Computer Science from Georgia Institute of Technology and a Bachelor's degree in Chemistry from Emory University.
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