I’m a tech entrepreneur, researcher, bootstrapper and full-stack engineer now fully focused on advancing Bitcoin self-custody.

My latest venture, Rewind Bitcoin, addresses one of the most critical challenges in Bitcoin security: the risk of theft, coercion and physical attacks.

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By combining time-locked vaults, panic addresses and rescue workflows, Rewind enables users to regain control of their funds even under duress, discouraging would-be attackers.

I launched the project’s first beta in September 2024 and went into production in June 2025.

The foundation: BitcoinerLAB

Rewind Bitcoin is built atop BitcoinerLAB, an open-source suite of TypeScript modules I began developing in early 2023. BitcoinerLAB simplifies the creation of Bitcoin applications using descriptors and Miniscript.

Today, more than 2,000 public repositories depend on its modules combined. The libraries are used by major projects, including the JavaScript APIs provided by Ledger HWW and the Bitcoin Keeper wallet app, among others, and serve as the foundation for Rewind’s vaulting architecture.

Before Bitcoin

My path to Bitcoin wasn’t linear. It grew from years of building large-scale systems used by thousands of people and from research in data processing within the field of computer vision.

Large-scale global markets simulator

Before delving deep into Bitcoin, I founded and bootstrapped La Bolsa Virtual in 2009.

La Bolsa Virtual Initially a single-market, Spanish-language stock simulator, it evolved into a global, multilingual, multi-market trading community (Virtual Trading) serving over 800,000 registered users.

Over the years, I continuously adapted the platform’s technology stack, from an early PHP and Javascript-based site to a responsive React ecosystem with iOS and Android apps.
I designed databases that handle billions of records with real-time updates, optimized user experiences, implemented complex SEO strategies and forged key partnerships with global companies like Plus500 and eToro, negotiating deals directly with their CEOs.

Computer Vision (PhD)

My career began in the field of Computer Vision.

I earned a PhD from the Technical University of Catalonia (UPC), contributing patents and publications that advanced 3D reconstruction and video analysis.

I later led a team of researchers at Telefónica Research, where we developed a pioneering system (2009–2010) that reconstructed 3D scenes from videos captured on mobile phones of the time.
Users could upload short clips of objects or spaces and our platform automatically generated interactive 3D environments viewable directly in a web browser.
It was truly state-of-the-art technology. No camera calibration or setup was required!

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Demo video (2009): real 3D reconstruction and navigation from mobile phone footage.

During this period and throughout my PhD, I contributed to several European and Spanish R&D projects, including the FP7 3D Presence program, where I led specific technical work packages. Earlier, I completed internships at British Telecom Research (UK) and Philips Research (NY), focusing on data processing and algorithmic video analysis.


From bootstrapped large-scale financial systems to computer vision research and now Bitcoin security, my work has always revolved around solving real-world problems through technology.

My focus is to bring advanced technology to real users by abstracting away complexity. I’m now fully focused on building self-custody solutions against theft and extortion that are simple and accessible to anyone.