Adrian Rivadulla is an MLOps Engineer with a PhD in Biomechanics and eight years of experience applying machine learning to human movement, wearable sensors, and neurotechnology. After academic roles developing signal-processing and EEG ML solutions, he transitioned to industry to focus on scaling models into production and building agentic AI systems at AstraZeneca in Barcelona. His background bridges rigorous research—designing and validating ML models for biomechanics—with hands-on product work at sensor startups where he shipped the first ML movement-quality scoring system and improved key running metrics by 10%. Known for combining research-driven innovation with robust engineering practices, he specializes in turning laboratory insights into reliable, deployable ML pipelines. An often-overlooked strength is his domain fluency across biomechanics, clinical collaborators, and MLOps, enabling practical solutions for real-world health and neurotech applications.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Biomechanics, Doctor of Philosophy - PhD, Biomechanics at University of Bath
Master's degree, Research Methods in Sports and Health, Master's degree, Research Methods in Sports and Health at Universidad de A Coruna
A curated, public list collecting resources for biomechanics and human motion: datasets, processing tools, software for simulation, educational videos, lectures, etc.
Contributions:1 commit, 2 PRs, 2 pushes in 1 day
biomechanicsvideosmotionsoftware-toolssimulation
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