Bridging technology and business to solve real problems—translating complex challenges into practical solutions.
I work at the intersection of technology and business. Not as a pure engineer, but as someone who understands what businesses actually need and can work with technology to deliver it.
My approach starts with understanding the problem from first principles. What's the real business challenge? What's broken in the current process? Then I figure out what combination of technology, data, and process changes will actually solve it—not just what's technically interesting.
Deep understanding of financial markets, digital finance, and fintech operations gained through experience at global financial institutions and fintech companies. Navigated complex regulatory environments and built systems where accuracy and compliance aren't optional. This background informs how I think about risk, data integrity, and business impact.
Worked at Amazon and across SaaS platforms, understanding the challenges of scaling systems, user experience, and delivering consistent value at enterprise scale. Experience with marketplace operations, subscription models, customer lifecycle management, and operational efficiency in high-volume environments.
Experience sizing complex business problems through data analysis across enterprise and startup environments. At Amazon, analyzed 500K+ policy decisions affecting seller experience, quantifying multi-million dollar improvement opportunities. Skilled at turning messy, multi-source data into actionable insights that guide strategic decisions.
Worked with crypto compliance, blockchain technology, and emerging financial instruments across multiple ventures. Built practical solutions for regulatory compliance and risk management. Comfortable navigating ambiguity in rapidly evolving spaces where traditional approaches don't always apply.
I'm not a pure developer, but I understand technology well enough to bridge the gap between business needs and technical implementation. I can work with SQL to extract insights from complex datasets, implement RAG architectures for compliance automation, build data pipelines, and design systems that actually solve the problem.
This combination—understanding both business challenges and technical possibilities—is where I add the most value. I can talk to stakeholders about why a $2M problem exists, then work with engineers (or build myself) to implement a solution that addresses it.
The projects in this portfolio show this approach: identify real business problems, figure out what combination of data analysis, automation, or AI actually helps, then deliver solutions that work in production and create measurable impact.
If you need someone who can understand your business problem, figure out what technology actually helps, and deliver solutions that work—let's talk.
Barcelona, Spain
QuantInsti
Amazon Machine Learning University