Summary
Alvaro Tovar is a Senior Machine Learning Engineer based in Madrid with 11 years of experience bridging backend engineering and production ML. He has built ML stacks and released models to mobile and server environments—improving payer recall to 99% with an on-device classifier, delivering probabilistic LSTM forecasts, and optimizing ad exposure and courier tasking to drive business impact. Comfortable across the ML lifecycle, he established infrastructure, CI/CD, and experiment tracking at startups and scaled data pipelines with Spark and Kubernetes to handle terabyte-scale workloads. A pragmatic problem-solver, he often works independently to choose tools and architectures (Metaflow, MLflow, Prefect, Seldon) and has a strong background in Ruby on Rails and DevOps that helps him ship reliable systems end-to-end.
12 years of coding experience
12 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
English, Spanish