Products, platforms and companies in motion.

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Libra Investment Advisors

We are an institutional-grade investment management platform, structuring portfolios around each mandate through selected public-market exposures, systematic strategies and multiple implementation formats. Visit site

Spozz

A community-owned, direct-to-fan music ecosystem that gives artists greater control over their content, audience, rights and revenue while enabling fans to support creators directly. Visit site

Codevising

A software company focused on designing and developing custom solutions around each client’s specific needs. Visit site

Technology is a system, not a stack.

The value lies in the connections: between a product and its architecture, a team and its tools, an idea and the infrastructure that makes it real.

Structure before scale
Clear boundaries and intentional decisions create systems that can evolve without losing their shape.
Own the full path
Product flow, code, infrastructure and production are parts of one continuous responsibility.
Decisions grounded in practice
Technical decisions come from direct knowledge of the product, the code and how it operates in production.
Use AI deliberately
AI expands the engineering toolkit; judgment, context and accountability still shape the outcome.

Build to improve.

Technology reaches its highest value when it expands human possibility. Software and artificial intelligence should help people, reduce barriers and care for the world we share.

Benefit before novelty

The most advanced tool only matters when it improves a real situation and respects the people who use it.

Responsibility by design

Privacy, safety, accessibility and the prevention of harm belong in every technical decision.

Progress we can share

Innovation is more valuable when it expands opportunity and leaves a healthier foundation for others.

Building also means knowing what should not be built.

A career shaped by building.

Nine years in software development and five in DevOps, with experience in investment-management software and quantitative systems, as well as web and mobile products, backend systems, databases and production infrastructure, from architecture through operations.

Studies and continuing education.

Computer Engineering at Universidad Alejandro de Humboldt, complemented by studies in software engineering, data, deep learning, security, management and responsible AI product design.