Designing and developing Ising/QUBO models that fits into Digital Annealer for solving hard combinatorial optimization problems.

Several clients around the world (Spain, Japan, Italy) within different industries (telco, financial services). Problems comprise ROI maximization, interference minimization in mobile networks or portfolio optimization.

I also co-founded the Fujitsu TECH Talks in Madrid, Spain, with the aim of sharing knowledge and encourage team work, covering several topics around AI.

Worked for a Spanish company in the electric sector for a predictive maintenance project, designing the future of the project with the development of a prototype and a Functional Design document.

Prototype developed with Python+Pandas for data filtering and validation and OPL for the mathematical model.

Design and implementation of advanced algorithmic solutions within different industries (public transport, banking, and security).

Focused on assigning employees to tasks considering several constraints such as employees preferences, collective bargaining agreements, qualifications, time off sicks, holidays, etc.

Development in CPLEX/CP Optimizer for the mathematical models (Linear and Constraint Programming), mainly using C++ with the help of Python and Java.

Research fields: heuristic and metaheuristic optimization, combinatorial problems and graph theory. Research stay at Université de Bretagne-Sud (Lorient, France).

Development of solutions for hard combinatorial optimization problems related to the retrievement of items in warehouses.

As a result of this work, a PhD in Operations Research was achieved and several articles were published: 3 papers in JCR journals, 2 papers in SJR journals, 6 international conferences and 6 national conferences.