Gabriel Lora is a software engineer with experience at IBM, where responsibilities included automating compliance processes and enhancing backend systems for enterprise workloads. Notably, Gabriel designed a Kubernetes-native CI/CD pipeline that significantly reduced deployment time. Prior experience includes a technical support internship and a research assistant role at New York University, contributing to a $1M NSF/Amazon-funded initiative on AI fairness and bias mitigation. Gabriel holds a Bachelor of Science in Computer Science from the NYU Tandon School of Engineering, graduated in 2023.
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