Skill set (27)
Pablo in a few words
I am currently developing a Python-based library for advanced optimisation called Lurtis EoE. This library integrates ML techniques (XGBoost, DecisionTtree, Random Forest, multi-layer perceptron and linear models) with complex metaheuristic optimisation algorithms (genetic algorithms, evolutive algorithms as DE or SHADE, local search algorithms as MTS or L_BFGS_B, among others). Lurtis EoE is also compatible with a cloud-based deployment using AWS, GC, Azure or Kubernetes, and relies on a tailored-made MapReduce approach for the training of the models and the execution of the objective function that is being optimised.
I have also had the opportunity of leading a team for creating a web-based data analytics tool at Lurtis working for Arix Technologies although this project grew and diverged from Lurtis EoE and my thesis. In my previous experiences, I have worked with Python and PySpark creating models for predictive maintenance for Airbus at Capgemini. That included big data analysis, data visualisation using Matplotlib, and the creation of a desktop program in Python and Cython for visualising data when an incident happened.
Finally, during my time as a Teaching Assistant time at the University, I dealt with CI/CD in Azure, AWS and GC, as well as with SQL, although I rapidly transited to NoSQL databases.
Experience
- Lurtis RulesSenior Data Scientist & Data Engineer for Lurtis EoEDIGITAL & ITFebruary 2020 - Today (5 years and 4 months)Oxford, UK• Research on advanced optimisation using evolutive algorithms (EA), genetic algorithms (GA) and local-search algorithms (LS).• Integrate machine-learning methods in these algorithms: XGBoost, Decission tree (DT), Random Forest (RF), multi-layer perceptron (NNs) and linear models.• Develop a library in Python and Dask able to run in HPC (SLURM), Amazon EC2, Google Compute Engine and Azure VMs.• Design, develop and maintain the library using an Agile methodology, microservices and Git.• Lead a team of 2 people using Agile methodology.• Supervise 3 students that uses the library for conducting research.• Collaborate with the architecture department of Lurtis to integrate the library in a newdevelopment product.
- Lurtis RulesProject Manager for a Arix AnalyticsDIGITAL & ITSeptember 2021 - January 2023 (1 year and 4 months)Oxford, UK• Lead a team of 4 people using Agile methodology.• Develop the web-based data analytics tool for Arix Technologies including forecastprediction and data visualization.• Deploy the app in DigitalOcean using droplets.• We managed to get the first client (>$200,000).
- University of OxfordExternal CollaboratorRESEARCHOctober 2020 - Today (4 years and 8 months)Oxfordshire, UK• Design a framework for automatic design of metamaterials in Python using Dask and parallel computing in the ASIMOV project.• Optimise the design of a shunt used for draining cerebrospinal fluid with a PhD student.
2 recommendations
JR
AI
Jorge Rodriguez and 1 other person have recommended Pablo
06/04/2023
Looking for a highly skilled consultant to help you with your data analysis, process curation, or machine learning projects? Look no further than Pablo. With extensive experience in these areas and a demonstrated ability to build and analyze new artificial intelligence models, Pablo is the consultant you need to take your project to the next level. But Pablo's expertise isn't limited to technical skills. He also possesses excellent soft and leadership skills, making him a collaborative partner who can guide you through every step of your project's development. Whether you need a consultant, advisor, or collaborator, Pablo is the perfect fit. Don't hesitate to reach out and contact Pablo today to learn more about how he can help you achieve your project's goals.
04/04/2023
Pablo was a data scientist / data engineer on my team, and I can't say enough good things about him. He was whiz at handling data, figuring out insights, and building efficient systems. Pablo is hardworking and can talk to anyone about the technical parts of the project and make it easy to understand. He is always up for a challenge and great at collaborating with everyone!
Education
- Ph.D. in Software, Systems and ComputingUniversidad Politécnica de Madrid2023Ph.D. in Software, Systems and Computing
- Master of EngineeringUniversidad Pontificia Comillas2019Master of Engineering - MEng, Telecommunications Engineering
- Master's degree, Máster en Big Data. Tecnología y Analítica AvanzadaUniversidad Pontificia Comillas ICAI-ICADE2019Master's degree, Máster en Big Data. Tecnología y Analítica Avanzada
- Bachelor of EngineeringUniversidad Pontificia Comillas2017Bachelor of Engineering - BE, Telecommunications Engineering
- BachilleratoColegio San José del Parque2013Bachillerato