Summary
Edgar Rodríguez is a Lead AI Engineer based in Gothenburg with 8 years of experience building industrial-grade, explainable AI systems and production MLOps. He has led design and implementation of large-scale ML lifecycles—introducing trunk-based development, E2E integration testing, custom data-drift monitoring and serverless active model monitoring for time series forecasting—across energy and finance domains. At Siemens Energy he shipped the division’s first production ML system and governed data science lifecycle practices; at B2 Impact he scaled evaluation methodologies for zero-inflated financial portfolios deployed in multiple countries. He combines hands-on prototyping with cloud-native architecture (AWS, EKS, SageMaker, Snowflake) and a knack for mentoring teams in uncertainty estimation, hierarchical forecasting and efficient similarity search. Notably, his background in energy systems and unit-commitment optimization gives him a rare blend of domain expertise and production ML rigor.
8 years of coding experience
6 years of employment as a software developer
A-Levels, A-Levels at San Pedro Pascual
MSc in Energy Systems (120 ECTS), Engineering, MSc in Energy Systems (120 ECTS), Engineering at University of Gävle
Universitat Politècnica de València
Spanish, English, Catalan, Swedish