Technical lead and data scientist based in Madrid, passionate about artificial intelligence, advanced analytics, and generative models. I lead technical strategy for AI projects, coordinate teams, and deliver production-ready solutions that drive business value. With experience in both research and industry, I specialize in time series forecasting, LLMs, agents, and data platform architectures.
Lead the technical strategy for AI and advanced analytics projects, defining pipelines, agent workflows, and data platform architectures. Coordinate teams of 2-4 people, promoting best practices in ML, analytics, and generative models. Oversee and implement strategic forecasting and agents projects, deployed in production to optimize operational planning and automate KPI extraction. Direct collaboration with clients in services, energy, and retail, ensuring technical solutions deliver business value. Improved internal processes by integrating LLMs and agents for reporting and data analysis, increasing efficiency and consistency of results.
Improved demand forecasting accuracy and reliability across multiple industries, driving better inventory planning and resource allocation. Streamlined data integration and reporting processes by automating ETL workflows, reducing manual effort and delivery time. Delivered AI-driven insights and intelligent agents that enhanced decision-making for key clients. Partnered with cross-functional teams to translate business objectives into scalable analytics solutions adopted in production
Analysis of actigraphy time-series data in patients with brain injuries using statistical methods and ML for clinical outcome prediction. Development of preprocessing pipelines and feature extraction from wearable devices, improving data quality and consistency. Collaboration with researchers and medical staff to interpret results and contribute to study conclusions.
Relevant courses: Statistics, Machine learning, Artificial intelligence in business, Data architecture, Files and databases, Genetic algorithms.
Erasmus program: Exchange semester at Warsaw University of Technology.
Winner of the Madrid Engineering Week Datathon: Developed a data-driven solution to identify and optimize operational inefficiencies.