Greater Barcelona Metropolitan Area
I am a machine learning engineer with a background in human biomechanics. I completed my PhD in the Department for Health at the University of Bath, where I investigated how ML could provide new insights into human movement analysis and sensor signal processing. One of the aspects I most enjoyed during my doctoral studies was designing, training, and evaluating ML models, which motivated me to work for two wearable sensor start-ups at the intersection of biomechanics and ML during my PhD, and later apply ML to neurotechnology as a postdoctoral researcher in the Department of Computer Science at Bath. In 2025, I transitioned into industry full-time to focus on scaling ML beyond research. I joined AstraZeneca as an MLOps Engineer in Barcelona, where I develop solutions that enable models to move reliably from experimentation to production, as well as agentic AI systems. My aim is to combine research-driven innovation with robust engineering practices to deliver machine learning solutions that are impactful, reliable, and scalable. [Last updated 22 Sept, 2025]
Turing Research Associate AI for Neurotechnology in the Department of Computer Science. Provided signal processing and machine learning engineering support in several EEG-related research projects across the Institute.
Co-convenor of the Functional Anatomy and Sporting Movement Analysis unit taught within the Sport and Exercise Medicine MSc programme offered by the University of Bath for medical doctors and physiotherapists
Taught labs, tutorials and lectures across several Biomechanics and Advanaced Statistics units part of the Sports and Exercise Science BSc and MSci programmes
Member of a multidisciplinary team of engineers and medical doctors within the start-up which focused on innovation within the healthy ageing space. I contributed to the development of the company's first wearable garment instrumented with inertial measurement units for the analysis of human movement. I created software pipelines for biomechanical modelling based on the sensor data to obtain segment and joint kinematics. I developed and implemented the company’s first flagship product: a machine learning-based movement quality scoring system that could provide actionable insights to promote healthier mobility and improve quality of life for users.
Consultancy project working with the Biomechanics and Hardware teams of the start-up which developed wearable sensors for runners. I developed and implemented a machine learning model and associated data pipelines to improve the accuracy of one of the company’s key metrics provided to their clients by 10%.