IBM Quantum Lab
Led development of IBM Quantum Lab, the cloud notebook environment where IBM Quantum users wrote and ran Qiskit code against real quantum hardware without installing anything. Built as a JupyterHub deployment on Kubernetes integrated with the IBM Quantum platform, open to ~240,000 enrolled users.
Engineering challenges solved:
- Custom authentication against the IBM Quantum platform
- Persistent per-user storage and tailored user environments with Qiskit and tutorials pre-installed
- Automatic selection of hardware resources for different user profiles
- Abuse protection and performance at scale — peaks of ~800 concurrent user servers during the IBM Quantum Challenge
Presented at JupyterCon 2020.

I research and develop AI-based systems to tackle complex problems in quantum computing and other relevant areas.
My work sits at the intersection of quantum computing, machine learning, and open source. I hold IBM Master Inventor status and have contributed to tools used by millions of developers worldwide.
I have a PhD in Computer Engineering from the University of Salamanca (2018), have authored 80+ publications, and received the 2019 SCIE-BBVA Award for best young researcher in Computer Science in Spain.