Software Engineer for Athlete Performance Research at Stanford (NMBL lab) and Member of PhyUM Research Center.
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I'm interested in research and applications of AI and XR to make our lives better. I code mainly in C/C++, Python and JavaScript. I also have experience using Java, C#, SQL, PHP and more! My knowledge on different paradigms, algorithms, models, data structures and programming languages makes me a fast and efficient learner.
Universidad Nacional de Educación a Distancia - U.N.E.D.
PhD, Inteligent Systems
October 1, 2020 – January 1, 2026
Universidad Nacional de Educación a Distancia - U.N.E.D.
MSc, Artificial Intelligence
January 1, 2018 – January 1, 2020
Universidad Complutense de Madrid
BA, Computer Sciences Engineering
January 1, 2012 – January 1, 2016
Stanford University
Scientific Software Engineer
September 1, 2022 – Present
Stanford University
Independent Contractor
May 1, 2022 – September 1, 2022
University of Calgary
Scientific Software Engineer
July 1, 2020 – March 1, 2022
Calgary, Alberta, Canada
Tecnitia
Software Engineer
October 1, 2016 – March 1, 2018
Madrid Area, Spain
Hospital Central De La Defensa Gómez Ulla
Software Engineer Intern
June 1, 2015 – December 1, 2015
Greater Madrid Metropolitan Area
Addbiomechanics
February 1, 2023 – Present
A tool to automatically process and share biomechanics data.
OpenSim
May 1, 2022 – Present
OpenSim is software that lets users develop models of musculoskeletal structures and create dynamic simulations of movement.
OpenCap
May 1, 2022 – Present
OpenCap is an open-source software package developed at Stanford University to quantify the kinematics and dynamics of human movement from smartphone
VariantStar
September 1, 2021 – March 1, 2022
SNP variant annotations using machine learning, and discovery information using Bayesian Networks.
KLS - Kenpo Learning System
October 1, 2020 – Present
KLS is an Intelligent System for Psychomotor Learning that assists the learning of martial arts defensive movements by using hybrid intelligence (Artificial Intelligence + Human Intelligence) and Virtual Reality. When you use KLS you'll find yourself in a virtual martial arts dojo, where a virtual instructor will guide you through the learning of the movements. In the meantime, computer vision algorithms and our hybrid intelligence algorithms will capture your movements, model and analyze them, and give you adequate feedback, while creating an overall report of your training session.
WFES-GUI
July 1, 2020 – March 1, 2022
Development of a GUI and new functionalities for Wright-Fisher Exact Solver 2 (WFES). WFeS implements a variety of exact calculations with the Wright-Fisher model using high-performance linear algebra techniques, making it possible to compute exact quantities for biologically realistic population sizes.
KSAS - Kenpo Set Assisting System
October 1, 2018 – July 1, 2020
Development of an smartphone application to learn martial arts movements from inertial sensors data using neural networks.
Minimalist
July 1, 2018 – November 1, 2018
Conceptualization, Development, Design and Testing of 2D videogames for mobile devices. Developed using Unity3D.
Smartvigilance
September 1, 2017 – March 1, 2018
Development of a pharmacovigilance platform for clinical cases' management using CIOMS and CIOMS-II reports.
SARA
July 1, 2017 – September 1, 2017
Development of the prototype of an intelligent chatbot able to understand typos, gramatical and syntactical errors.
SiTex
June 1, 2017 – December 1, 2017
Development of new functionalities for SiTex, a budget management tool of Adif. Migrating and adapting database to Oracle SQL Server, fix old functionalities and integrate new functionalities.
Tecnitia's webpage
January 1, 2017 – May 1, 2017
Development of company's webpage using Wordpress.
Micro-control of units in StarCraft combats - Bachellor's Thesis
October 1, 2015 – June 1, 2016
Bachelor's thesis scored with 10/10. Research and application of the use of Reinforcement Learning algorithms to the control of units and groups of units in Real Time Strategy videogames.
DAS Project
June 1, 2015 – December 1, 2015
Development of a custom multimedia streaming platform (H.265 based) with an automatized video conversion system from physical to digital format.
Group 7: IRB BioMed/GCP Research (All Medical Investigators and Staff)
CITI Program
June 24, 2026 – Present
Old Norse Mythology in the Sources
University of Colorado Boulder
June 24, 2026 – Present
ChatGPT Prompt Engineering for Developers
DeepLearning.AI
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
DeepLearning.AI
June 24, 2026 – Present
Neural Networks and Deep Learning
DeepLearning.AI
June 24, 2026 – Present
Specialization - Deep Learning
DeepLearning.AI
June 24, 2026 – Present
Sequence Models
DeepLearning.AI
June 24, 2026 – Present
Convolutional Neural Networks
DeepLearning.AI
June 24, 2026 – Present
Associate Android Developer
Google for Developers
June 24, 2026 – Present
ITIL® Foundation Certificate in IT Service Management
AXELOS Global Best Practice
June 24, 2026 – Present
Paleontology: Theropod Dinosaurs and the Origin of Birds
University of Alberta
June 24, 2026 – Present
Marine Biology
American Museum of Natural History
June 24, 2026 – Present
Structuring Machine Learning Projects
DeepLearning.AI
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research and scientific software development, with a strong focus on AI, biomechanics, and genetic data. While this demonstrates deep technical capability, the project descriptions lack explicit business context or team collaboration details typical of a corporate data analyst role. The breadth of personal projects, though impressive, also suggests a strong individual contributor profile. The alignment with a 'Data Analyst' role is moderate; while data analysis skills are evident, the emphasis is more on scientific modeling and engineering rather than traditional business intelligence or reporting. The certifications are diverse, some highly relevant (Deep Learning specialization) and others less so (Old Norse Mythology, Marine Biology), which could indicate broad intellectual curiosity but also a potential lack of focused career path alignment.
Soft Skills & Operational Fit
The candidate's project history, particularly in academic and research settings, suggests a strong aptitude for problem-solving, independent research, and complex system development. The diverse range of projects indicates adaptability and a willingness to tackle varied technical challenges. However, the provided data does not offer direct insights into communication, teamwork, or stress handling, as psychometric and English test scores are zero.