Summary
Ricardo Gómez-olmedo is an AI Architect based in Madrid with a decade of experience building production-ready ML systems, from embedded computer vision to cloud-deployed GenAI. He blends deep research roots in computer vision and CUDA-accelerated detection with hands-on engineering across IoT, Raspberry Pi/Arduino prototypes, and large-scale data platforms on AWS. At Santander he drives innovation in multimodal generative AI, LLMs and MLOps while previously leading data science teams that reduced big-data processing timelines from months to weeks. An experienced instructor, he teaches deep learning and big data courses and mentors engineers, reflecting a rare mix of academic rigor and pragmatic, proof-of-concept coding. Notably, he builds personal automation projects (vAlfred) that combine face recognition, tf-idf NLP and Telegram integration, showing how research-grade techniques translate into real-world home automation and security.
10 years of coding experience
10 years of employment as a software developer
Machine Learning Engineer Nanodegree, Machine Learning Engineer Nanodegree at Udacity
Mobile Communication and m-commerce, Mobile Communication and m-commerce at Copenhagen University College of Engineering
Master of Engineering (M.Eng.) Telecommunications, Master of Engineering (M.Eng.) Telecommunications at Universidad de Alcalá
Data Science bootcamp in Berlin (3 months), Data Science bootcamp in Berlin (3 months) at Data Science Retreat
Full year Erasmus scholarship, Full year Erasmus scholarship at Linköping University
Applied Computing (ASP.NET) and Professional Issues, Applied Computing (ASP.NET) and Professional Issues at Glyndwrv Unversity (Wales)
Cisco CCNA, Cisco CCNA at NEWI Technological Institute (Wales)
Spanish, English, French