Automated settlement/liquidation documents impacting more than 300 users, managing information involving over USD 80 million. Designed, trained, and deployed +20 Computer Vision models for return/yield metrics on industrial production lines, with Edge processing on NUC devices + CI/CD pipelines, Git, DVC, Azure DevOps. Scoped +50 data initiatives aligned with strategic business objectives (Export, Industrial, Finance, Agriculture, Corporate), managing the backlog and coordinating with Operations, Processes, Procurement, and Management. Led the formulation of MLOps, DataOps, and DevOps as the team's working standard, defining frameworks, performance SLAs, and documentation/testing standards. Designed and optimized ETL/ELT processes, datasets, and data models to enable analytics solutions and corporate reporting, implementing data quality controls, validation, and monitoring, and administering Microsoft Fabric to ensure reliable and available information for decision-making.

Development of Web applications and APIs for data capture and integration in a 4.0 technologies project, deploying services via Docker to enable analytics solutions focused on risk management across the cherry industry value chain.

Integral management of the QR Wallet product backlog, prioritizing initiatives and coordinating technical teams.

Assisted with inventory management tasks.

Designed and prepared datasets for Machine Learning and Artificial Intelligence projects in computer vision and diffusion models, including data captured with event cameras and neuromorphic sensors, contributing to the development and evaluation of models published and presented at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025.

Leadership of a 12-person team in a science and technology program, impacting over 150 beneficiaries.