Summary
Fernando Sanz is a Senior Machine Learning Engineer based in Zurich with nine years of experience building production ML systems that bridge research and business impact. He has driven high-stakes marketplace optimization at Expedia—delivering auction-aware learning-to-rank models that produced $10M+ in incremental revenue—and now focuses on AI-driven products at Lakera. Comfortable across the ML lifecycle, he engineers scalable AWS/GCP pipelines, CI/CD, and multi-objective optimization while integrating LLMs for tasks like review summarization. His background includes academic research in transfer learning at Ericsson and teaching deep learning and AI at KTH, reflecting a strong theoretical foundation paired with practical deployment skills. A polyglot engineer with internships at IBM and telecom experience, he maintains cross-institutional project work visible on GitHub from KTH, UC3M and UTS, signaling a habit of collaborative, reproducible research and engineering.
9 years of coding experience
5 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)
Master of Science - MS, Machine Learning, Master of Science - MS, Machine Learning at KTH Royal Institute of Technology
Bachelor's degree, Computer Science and Engineering, Bachelor's degree, Computer Science and Engineering at University of Technology Sydney
Spanish, English, French, Swedish, Italian