Gabriel Norambuena is a Machine Learning Engineer with 11 years of experience, specializing in GenAI and customer experience solutions, currently designing and delivering GenAI architectures for LATAM Airlines at NeuralWorks. He blends rigorous academic training—a Máster and Ingeniería Civil en Computación from Universidad de Chile with highest honors—with hands-on delivery across roles in software engineering and data engineering. Gabriel focuses on technical quality, system sustainability, and scaling AI capabilities across organizations, routinely turning complex business problems into deployable ML products. His background spans research-oriented development at NIC Chile Research Labs to production data platforms and senior engineering roles, giving him a rare mix of research rigor and product-driven execution. Colleagues value his ability to lead high-impact initiatives that improve customer interaction and internal efficiency while keeping long-term maintainability front of mind.
11 years of coding experience
2 years of employment as a software developer
Magíster en Ciencias, Mención Computación, Computational Science, Distinción máxima, Magíster en Ciencias, Mención Computación, Computational Science, Distinción máxima at Universidad de Chile
Contributions:42 PRs, 59 pushes, 19 branches in 8 days
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Gabriel Norambuena - Machine Learning Engineer at NeuralWorks