Freelancer profile translated to English.

Description

I help companies transform complex business problems into profitable algorithms. I don't just train models; I design Mathematical Optimization and Artificial Intelligence solutions that reduce operational costs, optimize resources, and improve decision-making.

As a Doctor (PhD) in Engineering, I combine academic rigor with the pragmatism of industrial-level software development. My specialty is not making 'demos', but building robust and scalable production-ready systems.

How can I help you?

🚀 Operations Optimization (Operations Research): Do you have problems with shift scheduling, logistics routes (VRP), stock cutting, or production planning?

Design and solution of complex mathematical models (Linear/Integer/Mixed Programming).

Tools: Gurobi, CPLEX, Google OR-Tools, Pyomo.

🤖 Machine Learning & Forecasting: Do you need to predict demand or detect anomalies in real-time?

Development of predictive models for Retail and Supply Chain.

Stack: Python (Pandas, Scikit-Learn, XGBoost), Time Series.

⚙️ Industrialization (MLOps): Code is useless if it doesn't work in the real world.

Deployment of models in cloud environments (Azure/AWS).

Containerization and orchestration (Docker, Kubernetes).

Software engineering best practices (CI/CD, Testing).

Why work with me?

Business Vision: I understand that an algorithm must maximize profit or minimize cost, not just have good academic accuracy.

International Experience: I regularly work with Nordic teams in technically demanding environments.

Communication: I translate mathematical complexity into management language.

Sectors: Logistics, Retail, Energy, and Industry 4.0.

Do you have an optimization challenge that seems impossible to solve? Write to me and let's analyze the feasibility of your case.

Industry field of expertise

Languages

Spanish
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

BIP Spain.
xTech Expert, Senior Mathematical Optimization Consultant
August 2025 - Today (10 months)
⋄ Definition, development and cloud deployment of mathematical optimization models in biogas production (logistics, biodigestor feeds, digestate application on fields, etc.). ⋄ Develop GenAI Agents and deploy them in Databricks using Mosaic AI.
Agentic AI Optimization HiGHS Team Leading DevOps
Capgemini Engineering
Data & AI Engineer, Hybrid Intelligence Dept.
January 2024 - January 2025 (1 year)
⋄ End-to-end AI and Operations Research projects, including optimization engines for logistics, routing, and operational planning deployed in production environments. ⋄ Designed and implemented optimization-based route and assignment models for aircraft spare parts distribution under time and service constraints. ⋄ Worked with large-scale operational and geospatial datasets to improve planning efficiency and service levels. ⋄ Collaborated closely with software engineers to integrate OR models into production systems following best practices (unit testing, CI/CD, code quality).
Dept. of Systems Engineering & Automatic Control, University of Valladolid
Pre-doctoral Researcher
January 2020 - January 2024 (4 years)
⋄ Developed optimization decomposition methods to speed up large-scale supply chain and scheduling solutions. ⋄ Created models for several optimization projects: Hybrid maintenance production scheduling of manufacturing plants; Optimization of a global supply chain in the oil industry; Scheduling of a multi-line plastic compounding production plant; Optimal planning of a multiproduct pipeline. ⋄ Performed stochastic optimization for improved decision-making under uncertainty.