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Tomás Rosário

@tomsrosrio

Machine Learning Engineer at Enlitia who cut production inference runtime by up to 70% for renewable-energy time-series workloads.

Portugal

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At Enlitia, I owned the migration and refactoring of production ML pipelines to Databricks/PySpark and Snowflake/Snowpark, covering data processing, model registry, scheduling, and deployment.

I developed and productionized ML workflows for renewable-energy forecasting, performance analytics, anomaly detection, and asset monitoring. By optimizing model storage and loading and refactoring pipelines, I reduced inference runtime by up to 70%.

At Sparos, I developed and deployed an R/Shiny application for the EU-funded AquaCombine project, generating aquaculture feeding-rate recommendations. My work has also included research into seawater monitoring and shellfish contamination risk prediction, and contributions to software projects in C and Python.

Experience

Work history, roles, and key accomplishments

Machine Learning Engineer

Enlitia

Sep 2023 - Aug 2026 (2 years 11 months)

Owned end-to-end migration and refactoring of production ML pipelines to Databricks and Snowflake, and developed ML solutions for renewable energy forecasting and anomaly detection. Optimized workloads reducing inference runtime by up to 70%.

Python PySpark Databricks Snowflake Snowflake Snowpark MLFlow Prefect Docker Time series Forecasting Anomaly Detection Feature Engineering Data Quality Validation

Developer Operations Engineer

Sparos

Apr 2023 - Sep 2023 (5 months)

Developed and deployed an R/Shiny web application for the EU-funded AquaCombine project, including an R-based API, Docker containerization, and ShinyProxy deployment.

R Shiny Docker ShinyProxy API Development

Research Fellow

University of Aveiro

Jun 2022 - Nov 2022 (5 months)

Researched state-of-the-art approaches for seawater monitoring and shellfish contamination risk prediction, proposing a methodology for a predictive system focused on machine learning techniques.

Machine Learning Research predictive modeling

Summer Intern

Critical Software

Jul 2021 - Aug 2021 (1 month)

Contributed to software development projects in C and Python, including onboard aircraft security software and a customer-experience application in an Agile/Scrum environment.

C Python Agile Scrum