Senior Machine Learning Engineer at Corning Incorporated
Raleigh, North Carolina, United States
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Summary
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Senior
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Top School
Carlos Loza is a Senior Machine Learning Engineer with 8 years of experience building and productionizing ML systems across healthcare, biotech, and industrial domains. He blends deep academic rigor—a PhD in machine learning and publications in Nature Communications and MICCAI—with hands-on expertise deploying LLMs, recommender systems, and probabilistic time-series models on AWS using Terraform and SageMaker. At Datavant and Labcorp he led end-to-end ML lifecycles (from EDA to monitoring), including QLoRA fine-tuning and contextual bandits in production, materially reducing manual review work. His background in neuroscience and signal processing informs robust probabilistic modeling approaches that improved detection performance in real experiments, a capability he pairs with strong coding and data engineering skills. Based in Raleigh, NC, he combines research-level innovation with pragmatic, scalable implementations and a track record of turning complex biomedical data into actionable systems.
8 years of coding experience
12 years of employment as a software developer
Master's Degree Navigation and Related Applications, Master's Degree Navigation and Related Applications at Politecnico di Torino
Bachelor's Degree Electrical and Electronics Engineering, Bachelor's Degree Electrical and Electronics Engineering at Universidad San Francisco de Quito
Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering at University of Florida
Contributions:33 commits, 8 PRs, 4 pushes in 3 months
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