Jorge Mauro Ballester Córdoba

- Stocking the produce section while following presentation standards and FIFO rotation rules. - Receiving, quality-checking, and sorting incoming products. - Organizing and maintaining the cold storage room. - Managing restocking and anticipating potential stock shortages. - Labeling products with price, origin, variety, and required information. - Maintaining cleanliness and hygiene in the department in accordance with HACCP standards. - Checking product freshness daily and removing damaged items. - Assisting customers and answering questions about products (origin, seasonality, cooking, storage). - Participating in inventory counts and stock updates. - Collaborating with the team to ensure an attractive department layout and efficient service.

Product Team - Contributed to the design and development of VEKAI, a Retrieval-Augmented Generation (RAG) platform enabling enterprise-wide access to HR documentation; later packaged as a proprietary Nunsys product. - Implemented and debugged Python-based AI modules and Java backend services within a 5-developer cross-functional team. - Improved frontend performance and maintainability using HTML5, CSS3, TypeScript, and Angular, focusing on component modularity and responsive rendering. - Designed and validated REST APIs with FastAPI, implementing automated test suites with Pytest, TestClient, and Unittest to ensure reliability, coverage, and regression stability. - Containerized services using Docker, creating reproducible build pipelines for deployment and integration with the existing infrastructure. - Conducted technical research on graph databases (Neo4j), benchmarked Cypher queries, and evaluated ML plugin integration for graph-based inference workflows. European Project: CLEANERGY - Performed predictive modelling on lithium battery State of Health (SOH) for electric vehicle applications, using real-world operational datasets. - Developed and deployed an XGBoost-based linear regression pipeline in Python (NumPy, Pandas, Scikit-learn), enabling SOH forecasting and degradation pattern analysis. - Containerized the full inference pipeline using Docker, ensuring reproducible execution across environments. - Delivered technical presentations to stakeholders, detailing model architecture, evaluation metrics, and deployment workflows.

Smart Grids Department - Contributed to the European project Habitatge 2020, focused on improving building energy efficiency. - Developed a real-time energy digital twin to model photovoltaic and wind power generation, as well as electrical consumption profiles. - Designed and implemented Python/Flask REST APIs to integrate real-time weather data and consumption measurements into the simulation workflow. - Generated an automated daily energy balance report, enabling data-driven analysis and decision-making. High Voltage Department - Assisted in lithium-ion battery testing in compliance with UNE-EN IEC 62660-1:2019, performing test cycles for electric vehicle applications and documenting laboratory procedures. - Developed two Matlab/AppDesigner applications for the chemistry department to visualize Nyquist and Bode diagrams, improving impedance analysis and internal cell characterization.