Roberto Hernández Ruiz Email and Phone Number

Lead Architect at Data & Analytics (Advanced Analytics and Artificial Intelligence).

AI/ML Engineer at Artificial Intelligence Offering.- Led the technical development of a MLOps-approached forecasting solution on Google Cloud Platform from scratch, valid as an end-to-end ML system and starting point of MVP for clients in the manufacturing and industrial sector. Published a series of 2 posts outlining the solution on the company's engineering blog (https://medium.com/gft-engineering).- Integration of Generative AI workflows based on RAG solutions for a project with a client in the banking sector. APIs development and backend assembly in Azure.- Contributed to the development of an energy optimization MVP in the industrial sector using Model Predictive Control (MPC).

AI / SW Engineer in Artificial Intelligence and Business Computing Area at ARI (Atos Research & Innovation).- Carried out the technical development of the architecture of the core big data platform of an European research project on Kubernetes, from a microservices approach (e.g., DBs, APIs development, custom modules based on open source tools).- Internal MLOps working group. Benchmark studies of open source MLOps solutions and methodologies (e.g., Kubeflow, Mlflow).- Contributed to several European Research projects. Drafted technical proposals. Collaborated in on-premise Kubernetes cluster maintenance and apps deployment. Technical documentation of projects. Follow-up in person presentations at General Assemblies in Athens and Vienna.* Tools and skills: Git, CI/CD pipelines (Gitlab CI, GitHub Actions), Docker, Kubernetes, Python, APIs development (FastAPI), relational and time-series databases (PostgreSQL, InfluxDB), ETL pipelines, MLOps tools (MinIO, Kubeflow, Mlflow), observability and monitoring concepts (Prometheus, Grafana), technical documentation and user guides writing, presentations to international partners.

As master thesis collaboration with KU Leuven, uncertainty estimation of deep learning models is investigated in the context of medical imaging.-En el marco de la tesis y colaborando con KU Leuven, se investiga la estimación de la incertidumbre de los modelos de aprendizaje profundo aplicado a las imágenes médicas.

App developer working with the latest technologies and tools (Python, Node.JS, JavaScript, VisualStudio, IBM-Db2, IBM Cloud) under Agile and DevOps methodologies, hand in hand with other developers. Design and implementation of IT solutions on the intranet for the organization.-Desarrollador de aplicaciones, diseño e implementación de soluciones TIC, trabajando con las últimas tecnologías y herramientas (Python, Node.JS, JavaScript, VisualStudio, IBM-Db2, IBM Cloud) bajo metodologías Agile.

Rotation through the different areas of the Cardiology Service (Coronary Unit, Hemodynamics, Electrophysiology, Heart Failure and Transplants, and Cardiovascular Imaging), learning about some of the cardiovascular diagnosis technologies as well as the information and workflow. In addition, during the internship there was an active collaboration in the process of identifying problems and proposing solutions.-Rotación por las diferentes áreas hospitalarias del Servicio de Cardiología (Unidad Coronaria, Hemodinámica, Electrofisiología, Trasplantes e Imagen Cardiovascular), permitiendo conocer las tecnologías de diagnóstico y tratamiento cardiovascular, así como los flujos de información y trabajo. Colaboración activa en el proceso de identificación de problemas y propuesta de soluciones.