Fernando Bellido Pazos

IDOM

• AI Innovator

  1. Directed the theoretical research & development of an innovative internal Retrieval Augmented Generation (RAG) system, significantly enhancing language understanding capabilities and applications within the organization. Spearheaded the creation of an AI-driven companion, demonstrating leadership in leveraging advanced AI technologies & Large Language Models (LLM) to drive organizational progress and innovation.

  2. Pioneered the development of an AI classifier using NLP and Google’s BERT language model, complemented by an ontology-based approach, for sophisticated categorization derived from comprehensive project descriptions.

  3. Innovated a CV generator grounded in the SAP’s Success Factors internal system, featuring a multi-layered approach encompassing data ingestion, AI-driven & deterministic data processing paragraph generation, template compilation, and polished CV output.

  4. Architected and deployed a cutting-edge AI development infrastructure, encapsulating a fully dockerized framework that enables real-time monitoring of system resources. Masterfully set-up NGINX for efficient routing, and implemented a suite of advanced AI tools, setting new benchmarks in technological excellence like Stable Diffusion

• Digital Tranformation Consultant

  1. Spearheaded the development of cutting-edge artificial intelligence and mathematical models, revolutionizing asset maintenance from reactive to proactive using SAP’s Intelligent Asset Management and Internet of Things modules.

  2. Played a pivotal role as a Statistician in developing the cadastre system, in collaboration with the registry office, offering clear justifications for property valuations to citizens. Innovated a unique calculation method for assessing house values across the Basque Country, enhancing the system’s accuracy and transparency in property valuation.

Ontology Engineering Group

Tasked with analyzing academic papers housed within institutional repositories and developing a sophisticated system to construct knowledge graphs. This system is designed to facilitate advanced querying capabilities, addressing inquiries related to the principles of Open Science.

SaveStars Consulting

Developed a Python-based system to extract images from NASA’s VNP46A2 satellite, process these images, and implement a mask for a designated area of the peninsula. This system was specifically engineered to assess the level of light pollution in a particular region.

Open Summer of Code

Collaborating with a diverse team with the goal of supporting the 2030 Agenda to achieve a better future. Designed a Web-App that objectively assesses and evaluates tabular data from a user-specified data source obtained from open data portals (e.g. datos.gob.es).

Open Summer of Code

Collaborating with a cross-functional team to contribute to a brighter future for the 2030 agenda. Designing a WebApp that provides personalized recommendations for good habits based on data related to the global pandemic, which has been gathered, analyzed and presented through visually appealing graphs.

BBLUR Architecture

Involved in the revamp of the company’s website utilizing WIX (enterprise-level solution) and providing technical assistance to the company, focusing mainly on hardware support.

Trilogy Group Limited

Participating in the redevelopment of the company’s website utilizing WordPress (enterprise-level platform) and offering technical support to the company.

MSc in Applied & Computational Mathematics

• Average grade: 8.38/10 with 1 Honorable Mention on Advanced Methods in Analysis.

• Course work: Biological Inspired Artificial Intelligence, Modelling and Nonlinear Analysis, Optimization, Stochastic Equations for Finance and Biology, Complex Biological and Socioeconomic systems, Computational Linear Algebra, Computational techniques for Differential equations, Methods for Nonlinear differential equations, Applied discrete mathematics.

• Master’s Description: The Master’s Degree in Computational and Applied Mathematics offered by Universidad Carlos III de Madrid responds to such a demand, by emphasizing a double, computational and mathematical, approach to solving realistic problems, offering multidisciplinar education to holders of STEM Bachelor degrees which, from a solid basic training, is oriented towards the development of quantitative and computational methods which can be applied to a wide spectrum of disciplines.

BSc in Mathematics and Computer Science

• Average grade: 9.4/10 with 14 Honorable Mentions.

• Courses: Databases, Operative Systems, Data Structures, Data Analytics, Artificial Intelligence, Programming (Object Oriented, imperative, functional and logic), Functional Analysis, Applied \& Computational Topology and Pure Mathematics.

• Degree Description: The ultimate purpose of the degree is to know the nature, methods, and most relevant purposes of Mathematics, and to have general knowledge of Computer Science and the interrelation between both disciplines. Companies in the I.T. sector, such as IBM, have noted the growing demand for professionals with good knowledge of computing and mathematics, who can also serve as a link between experts in the two disciplines.

Baccalaureate in Technological Sciences

• Average grade: 13.46/14 with 5 Honorable Mentions.

• Courses: Mathematics, Physics, Technical Drawing, Information Technology, Industrial Engineering and Psychology.