Open to opportunities

Ronaldo Andrade da Silva

@ronaldoandradedasilv

Message

I design scalable digital products, systems, and workflows that improve measurable business outcomes.

Spain

Message

I've built and scaled product design at SportNinja, helping grow the platform from 9K users to 120K+ downloads across 10+ countries. I created its code-aligned Figma design system, redesigned onboarding to reduce login support tickets by about 90%, and used analytics, NPS, heatmaps, and Firebase data to improve product decisions.

At MLSE, I evolved Digital Arena into a real-time engagement product serving 1M+ fan visits across four franchises, while rebuilding UX metrics across six apps and cutting reporting time from four hours to 30 minutes. Previously, as ZG Soluções' first UX hire, I redesigned a HealthTech dispute workflow from roughly 30 minutes to five, grew the design team from one to four, and established the company's Design Chapter and UX research practice.

Experience

Work history, roles, and key accomplishments

Senior Product Designer

SportNinja

Sep 2022 - Jun 2026 (3 years 9 months)

Built the product design foundation from scratch, partnering with founders and engineering leadership on product direction and UX strategy. Contributed to platform growth from 9K to 120K+ downloads and 63K active users across 10+ countries.

Senior Product Designer → Squad Design Lead

MLSE – Maple Leaf Sports & Entertainment

Nov 2020 - Sep 2022 (1 year 10 months)

Led end-to-end product design for Digital Arena, evolving the platform from early wireframes into a multi-franchise real-time engagement product serving 1M+ total fan visits across 4 MLSE franchises. Rebuilt UX metrics infrastructure across 6 apps using Power BI automation, reducing reporting time 8×.

UX/UI Designer → Design Chapter Lead

ZG Soluções

Jan 2020 - Nov 2020 (10 months)

Joined as the company's first UX hire and led the redesign of ZeroGlosa 2.0, a legacy HealthTech audit platform used by 500+ healthcare institutions. Redesigned the core dispute workflow end to end, reducing task completion time by 80% and improving Maze usability score from 29 to 75.