Kevin Santana is a Machine Learning Engineer based in Barcelona with 8 years of experience applying data science and cloud-native engineering to media measurement and analytics. He holds an MSc in Artificial Intelligence and has moved from backend development into Big Data and ML roles, including hands-on work with AWS, Google Cloud (BigQuery, Composer, Dataflow, Vertex AI) and containerized, CI/CD-driven production deployments. At NielsenIQ he leads design and lifecycle maintenance of ML solutions for media projects, blending software engineering best practices with distributed processing and infrastructure-as-code. His background as a Technical Solutions Representative for Google Cloud gives him a strong operator’s view of scalable data platforms and customer-facing problem solving. Comfortable spanning research-grade models to production pipelines, he brings a pragmatic focus on reliability and observability that accelerates model impact in business contexts.
8 years of coding experience
2 years of employment as a software developer
UPC Universitat Politècnica de Catalunya
Computer Engineering Degree Science & Maths, Computer Engineering Degree Science & Maths at Universidad de Las Palmas de Gran Canaria
Simple Ada/Spark package which works with some mathematical functions and arrays. The objective of this library is to make a formal verification using SPARK of some algorithms.
Contributions:22 commits in 8 months
adapythonformal-verificationformalarrays
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Kevin Santana - Machine Learning Engineer at NielsenIQ