Realismo Mágico: Gamifying the Latin American Literary Experience
Realismo Mágico is a hybrid social marketplace engineered to solve the invisibility of emerging Latin American authors. By merging a high-engagement e-magazine (content) with a robust e-commerce engine (sales), we built a responsive WordPress ecosystem where “unknown” writers transform into “established” brands. Over a 6-month timeline, I led the transition from a conceptual value proposition to a functional, high-conversion platform.
Customela: Revolutionizing Legal Productivity in Colombia
Customela is a specialized legal-tech solution designed for Financar to transition from manual, error-prone Word and PDF workflows to a streamlined, digital-first contract ecosystem. As the end-to-end Project Lead, I steered the design of a responsive web and mobile platform that automates contract generation and signing.
Keller Offers: Designing an End-to-End iBuyer for Real Estate Agents
This project transformed a fragmented real estate process into a high-velocity iBuyer ecosystem through a user-centric redesign of both the public-facing lead generation website and the internal web app.
Can you trust your gut while building Product?
In product design, your “gut” is actually a high-speed pattern-recognition engine that synthesizes past experiences to identify opportunities before they appear in formal metrics . While data-driven decisions are vital for optimizing existing flows, data is inherently backward-looking; radical innovation often requires leading with “product sense” to act ahead of the evidence. However, unvetted instinct is highly vulnerable to confirmation bias, which can lead designers to cherry-pick data that supports their favorite features . The most effective approach is a blended loop: use intuition to form bold hypotheses in new territories, but use empirical research and A/B testing to validate those bets before you scale .
Building in the Dark: Minimal Structure for Maximum Learning before Product-Market Fit
Pre-Product-Market Fit (PMF), traditional structure is often a liability. Methodology designed for mature companies—like roadmaps longer than three months or exhaustive user stories—creates “abstraction friction” that kills the velocity needed for discovery. Instead, early-stage teams should adopt a “disciplined chaos”: short, intense two-week cycles focused on a single measurable goal, such as increasing retention or acquisition.
For designers, this means moving from being a pixel-perfect specialist to a “founding generalist” who uses high-fidelity prototyping, coding, and intentional design debt to rapidly validate what users actually want. The goal at this stage is not to build a stable system, but a learning machine that values direct user interaction and “doing things that don’t scale” over perfect documentation. Structure should be used as a tool for focus, never as a substitute for the obsessive customer interaction required to find fit.
How AI has impacted my daily work
By 2026, my daily work as a product designer has transitioned from “pixel-pushing” to “system curation”. With 80% of organizations now integrating generative AI into their core workflows, I spend less time drawing static boxes and more time managing agentic systems that handle the entire “Design-to-Ticket” pipeline. “Vibe coding” tools like Bolt.new and Lovable allow me to ship functional, full-stack MVPs using natural language prompts, effectively bridging the gap between design and production code. While AI can now perform tasks at an 80% standard, my role has evolved to focus on the “final 20%”—the creativity, taste, and emotional resonance that a machine simply cannot replicate.