04/2023 - Present
Responsible for developing Grazper’s model training pipeline, training and optimizing pose estimation and box detection models central to our human pose recognition system.
Developed and maintained a 3D human-pose annotation web application, now actively used by annotators to label our in-house dataset.
Built an auto-annotation system using state-of-the-art models and postprocessing to accelerate the annotation process.
Automated key steps in the recording pipeline (actor registration, video export, and auto-annotation) through custom scripts and applications.
Led the migration to GitHub, establishing reproducible test environments for Grazper’s CI/CD pipelines on self-hosted GitHub runners. Deployed a self-hosted package registry for managing Python and npm packages, and Docker images, improving significantly the development process of the entire company. Check out this post for more details.
07/2022 - 02/2023
06/2021 - 07/2022
02/2021 - 06/2021
Languages
Machine learning
Numerical
Networking
DevOps
Data viz
Frontend
Here are some of the projects I’ve done in the past or I’m currently doing now:
MSc in Mathematical Modelling and Computation
at DTU: 09/2020 - 02/2023
Worked on courses and group projects involving different topics in machine learning, computer science and applied
mathematics: deep learning, bayesian machine learning, MLOps, algorithms and data structures, high performance
computing, dynamical systems theory, stochastic processes, optimization…
BSc + MSc in General Engineering at
UPV: 09/2015 - 07/2020
Studied a broad variety of courses in general engineering competences, including maths, physics, statistics,
thermodynamics, materials, mechanics, electronics, automatics and electrical engineering, among others. Specialized
in Electrical Engineering thanks to the research internship I did in the department of Electrical Engineering.
Additionally, I studied Jazz at the same time at Sedajazz music academy in Valencia.