LaunchDarkly · Experimentation · AI product engineering
Experimentation and AI, ready for rollout.
Ricardo contributed to two areas of LaunchDarkly’s platform: Experimentation and AI Configs. His work combined frontend development for experimentation workflows with architecture, APIs, and technical leadership for a new AI product, helping carry AI Configs from inception through beta to General Access.
Ricardo’s work as frontend engineer, core engineer, and tech lead
Experimentation: make complex workflows usable
As a frontend engineer on the Experimentation Platform, Ricardo developed complex React applications with reusable components, dynamic data handling, and responsive layouts. The project focused on improving feature experimentation workflows and collaboration for engineering teams. His stack included TypeScript, React, Redux, Storybook, and REST API integration.
From experiment design to results
The screenshots show the product workflows: defining a hypothesis and funnel metrics, allocating traffic across variations, reviewing experiment results, and connecting feature-flag targeting with experiment holdouts. They illustrate the application context for Ricardo’s frontend work; the example conversion figures are product demonstration data, not business outcomes attributed to his contribution.
AI Configs: from inception to General Access
As a core engineer on AI Configs, Ricardo contributed to the architecture, APIs, and data model for a new addition to LaunchDarkly’s flag-management portfolio. He worked with Product, Design, Security, and SRE on reliability and auditability, helping drive the product from beta to General Access.
Approvals and evaluation before rollout
Ricardo served as tech lead for AI Configs approval workflows, including role-aware rules, audit logs, and guarded change management. He also led Test Runs, a sandbox and evaluation framework for safely executing and comparing configuration changes before rollout.
Team leadership and product impact
Ricardo managed three team members, mentored new engineers, and addressed technical debt that slowed developer productivity. During this work, AI Configs reached the company’s first-quarter revenue goals two months into the quarter—a product-level milestone reported by Ricardo, achieved through the broader team’s work.
Inside the product
LaunchDarkly Experimentation · Screenshots supplied by Ricardo · Ricardo’s project on A.Team
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