Helder Martins is a Senior Machine Learning Scientist based in Amsterdam with 11 years of engineering experience blending production-grade backend systems and applied ML research. After an MSc in Machine Learning at KTH where he studied churn prediction for Spotify using deep recurrent models, he has been driving ML efforts at Booking.com since 2017, moving from scientist to senior scientist. His background as a systems and firmware engineer (from blade-server firmware to high-throughput web servers and job schedulers) gives him rare end-to-end insight into deploying data-driven products reliably at scale. He excels at turning user behaviour and operational data into actionable models and robust services, and has a track record of improving product quality through both algorithmic work and backend engineering. Colleagues benefit from his pragmatic combination of research rigor and hands-on system-level optimization.
11 years of coding experience
14 years of employment as a software developer
Master of Science (M.Sc.), Machine Learning, Master of Science (M.Sc.), Machine Learning at KTH Royal Institute of Technology
BS, Computer Science, BS, Computer Science at Federal University of Rio Grande do Sul
Contributions:20 commits, 13 pushes, 1 branch in 9 days
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Helder Martins - Senior Machine Learning Scientist at Booking.com