Machine Learning Engineer - Reinforcement Learning at SIXT
Lisbon, Portugal
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Summary
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Senior
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Top School
Javier Adell is a Machine Learning Engineer specializing in reinforcement learning with nine years of experience building and deploying production-grade ML systems across startups and scale-ups. He has led data teams and designed cloud-native, Kubernetes-backed infrastructures that integrate ClickHouse, S3, Dagster, dbt and Postgres to power analytics, forecasting and microservices. At Glovo he owned courier forecasting pipelines combining ML, Bayesian models and linear programming; more recently he directs RL efforts at SIXT. Comfortable across the full data stack—Python-first modelling, SQL ecosystems, CI/CD and orchestration tools—he balances research rigor (PNAS-published work on satellite imagery) with pragmatic engineering practices like automated testing and observability. Based in Lisbon, he brings a hybrid background in political science and data science, which helps him frame technical solutions around real-world decision-making and product impact.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree in Political Science, GPA: 8.33/10, Bachelor's degree in Political Science, GPA: 8.33/10 at Universitat de València
Master of Science (MS), Data Science, GPA: 8.3/10, Master of Science (MS), Data Science, GPA: 8.3/10 at Barcelona Graduate School of Economics
Exchange student, Political Science, GPA: 3.8/4.0, Exchange student, Political Science, GPA: 3.8/4.0 at University of Oklahoma
[TEMPORARY UNTIL ALPHA-ENERGY GETS ITS OWN ORGANIZATION] Smart-Energy is a python module to run simulations of energy grid behavior
Contributions:14 PRs, 22 pushes, 22 branches in 3 months
pythonuntilsimulationssimulationpython-module
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Javier Adell - Machine Learning Engineer - Reinforcement Learning at SIXT