Summary
David Figols is a Technical Solutions Engineer specializing in databases with nine years of hands-on experience building cloud-native systems and optimizing NoSQL performance. Grounded in a dual degree in Mathematics and Computer Science and now pursuing a master's in AI, he blends rigorous mathematical thinking with practical engineering—training ML models to improve database efficacy is a recurring theme in his career. He advanced from junior data engineer roles to tech lead positions managing mission-critical delivery and production applications in the primary sector, and more recently has focused on GCP platform and serverless database services. Currently at Google, he brings practitioner-level insights from prior GCP engineering roles at Webhelp and a track record of bridging infrastructure, data, and ML workflows. Based in Barcelona, he’s driven by curiosity to push the intersection of cloud and AI toward efficient, production-ready solutions.
9 years of coding experience
2 years of employment as a software developer
Máster Universitario en Inteligencia Artificial, Artificial Intelligence, Máster Universitario en Inteligencia Artificial, Artificial Intelligence at UNIR - La Universidad en Internet
Doble grado de Ingeniería Informática y Matemáticas, Informática y matemáticas, Doble grado de Ingeniería Informática y Matemáticas, Informática y matemáticas at Universitat de Barcelona
English, Spanish, Catalan