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Experiencia
- ZynapTeam Lead Data/IAEDICIÓN DE SOFTWAREseptiembre de 2024 - Hoy (1 año y 9 meses)Barcelona, España- Lead the creation of a complex AI-agents that build complex cybersecurity workflows- Refactored and optimized critical codebases, enhancing efficiency, maintainability, and security.- Improved system performance by 67.5% by implementing Elasticsearch, significantly reducing query times compared to MongoDB.- Designed and built a high-scale ingestion platform, processing 1B+ records/month while ensuring high availability and optimal read speeds.- Deployed AI models on local infrastructure, enabling teams to leverage LLMs for processing highly sensitive data securely and efficiently.
- BitpandaData EngineerHIGH TECHfebrero de 2023 - septiembre de 2024 (1 año y 6 meses)Barcelona, España- Led the implementation and adoption of dbt in Bitpanda, impacting several teams within the company. By the end of Q2 2024 4 teams have dbt on their toolkit, empowering them to create their own data models owning their own data.- Coached 3+ team members and managed 1 intern. Reduced the time to create the fifth MR from 6 weeks to 3 weeks.- Created +50 ingestion jobs that run in a daily or hourly basis fetching data to Bitpanda's data lake from internal and external sources.- Oversaw the implementation of new practices that improved reliability and observability of the data platform (secret isolation in astronomer, masking policies in terraform, etc)- Contributed to the first AI products of Bitpanda attending the Bitpanda Hackathon on June of 2023. Created an MVP for a LLM based project.
- INDITEXData Engineer / Tech LeadGRAN DISTRIBUCIÓNagosto de 2022 - febrero de 2023 (6 meses)Working in the Sustainability Area of Inditex, contributing to create fashion, innovating and increasing Inditex efficiency in order to make a positive difference for people and the planet. Contributing to create new data objects with millions of records that are used for different teams at Inditex for taking data-driven decisions. Working with Kimball’s approach.
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Formación
- Master in Innovation and Research in Informatics - Data Science and Machine LearningUniversitat Politècnica de Catalunya2019Official European Master at Universitat politècnica de Catalunya, focused on innovation and research. Specialization: Data Science and Machine Learning. Thesis: Travel time forecasting using probe vehicle data on freeways. Grade: 9.5 Subjects did: -Algorithmic Methods for Mathematical Models -Data Analysis & Knowledge Discovery -Data Warehousing -Statistical Modeling and Design of Experiments -Techniques and Methodology of Innovation and Research in Informatics -Multivariate Analysis -Open data -Machine Learning -Algorithmic for Data Mining -Concurrence, Parallelism and Distributed Systems -Viability of business projects -Information Retrieval -Kernel-Based Machine Learning and Multivariate Modeling -Bioinformatics and statistical genetics
- Bachelor's degree in Computer Engineering.Universitat Politècnica de Catalunya2017Thesis: Machine Learning with H2o and R: A Big Data problem. Grade: 8.5.
Certificados
- Certificate in Advanced EnglishUniversity of Cambridge2018
- Applied Machine Learning in PythonCoursera2018