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HELM · AI Engineering

Predict consumption. Optimize navigation.

Machine learning and maritime route optimization. Predictive models and solutions built on operational, weather and ocean data.

Atlantic maritime route optimizer: eco route and safe route between Huelva and Santa Cruz de Tenerife
TypeAcademic project · EDEM · Team project
StackPython · Machine Learning · Optimization · BigQuery · Firestore
Period2025–2026
RoleMachine Learning Engineer
My technical contribution

Data, machine learning and optimization.

  1. 01DataIntegrating the vessel's telemetry with weather and ocean data from Copernicus and ERA5.
  2. 02Machine LearningDeveloping and evaluating an Extra Trees model to predict fuel consumption, with a mean absolute percentage error below 8%.
  3. 03OptimizationImplementing a dynamic programming algorithm to compare navigation alternatives and find lower-consumption routes.
Work samples

From model to route.

Python validation contract for the consumption model
Validation contract in Python.
Model publishing and versioning
Model publishing and versioning.

Team project developed as the final thesis of the Master's in Artificial Intelligence at EDEM.

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