experience

Professional experience, education, and technical focus.

I am a hands-on data scientist, AI and machine-learning engineer with nine years of research and engineering experience, including seven years delivering production data platforms, ML systems, and AI applications.

Professional experience

2022 — present

Lead AI and Data Scientist · TTY Analytics and Consulting

Lead data engineering, data science, machine learning, and AI delivery across a two-person consultancy. I have supported sports and technology organizations including the Golden State Warriors, Google, MIT Sports Lab, FIFA, FC Internazionale, Football DataCo, US Soccer, StatusPro, and StreamLayer.

LLM applications · computer vision · data platforms · cloud architecture · technical evaluation · real-time systems

2025 — present

Independent product builder

Designed and built an AI-assisted meal-planning application for toddlers, from the product experience through authentication, subscriptions, payments, email, and deployment.

Next.js · React · MongoDB · Auth.js · Stripe · OpenAI · DeepSeek

2019 — 2023

Research Scientist · MIT Sports Lab

Led applied data science and machine learning research for FIFA. Developed production analytics for elite soccer competitions, created the auto-eventing algorithm deployed after matches at the 2022 FIFA World Cup, and validated sensing systems behind Semi-Automated Offside Technology.

FIFA-sponsored · tracking data · event detection · technology validation

2017 — 2019

Postdoctoral Associate · MIT

Continued computational-electromagnetics research while transitioning into sports data science. Developed numerical methods with substantially lower computational cost and led a San Antonio Spurs-sponsored project connecting video tracking with athlete load.

Aerospace Computational Design Lab · Sports Lab · numerical methods

Education

2013 — 2017

MIT · PhD in Computational Science and Engineering

Minor in Machine Learning. Thesis: Simulation Methods for Plasmonics.

2011 — 2013

MIT · SM in Computation for Design and Optimization

2005 — 2011

Polytechnic University of Catalonia

Dual BSc in Civil Engineering and Mathematics.

Technical focus

Languages: Python, SQL, JavaScript

AI and ML: retrieval-augmented generation, agentic workflows, LangChain, TensorFlow, PyTorch, computer vision, deep learning

Cloud and data: GCP, AWS, BigQuery, Redshift, Spark, DuckDB, Neo4j, MongoDB, Prefect, Airflow, RabbitMQ, gRPC

Engineering: Docker, Git, FastAPI, Next.js, React, Tailwind CSS

Languages

Catalan and Spanish (native) · English (fluent)