Web3 Talent

I’m a recent Physics graduate passionate about data and Web3 technology, with hands-on experience building and engaging online communities across multiple social platforms.

During my final years at university, I developed my own YouTube channel, which grew to over 100,000 subscribers, giving me valuable experience in content creation, audience growth, and digital strategy.

Throughout my studies, I worked extensively with diverse datasets (from astronomical data of star clusters to cellular shear modulus measurements) and completed my Bachelor’s Thesis applying random matrix theory to financial markets.

After graduation, I began collaborating with Pond3r, a small Web3 startup, where my role involved improving their web portal, testing AI models, exploring API functionalities, and conducting data analysis using Web3 protocols like DeFi Llama. During this time, I also learned to build basic automations with N8N.

In parallel, I’ve been collaborating with Villarreal CF eSports, helping grow their social media community by producing vertical content (TikTok, Reels, YouTube Shorts) to expand the team’s reach and engagement. Our content currently averages over 2 million views per month.

Additionally, I participated in the Merge Madrid hackathon, where our team won the “Best Implementation of BSV Tech Stack” award. This experience taught me how to rapidly learn and implement a new blockchain (BSV) from scratch under time pressure.

Overall, I’m deeply passionate about data, modeling, and emerging technologies, and I’m constantly learning new skills and exploring innovative projects in the Web3 ecosystem.