Product principle
AI should augment judgment, not cosplay as magic.
Core Positioning
Defining AI-native systems across learning, community, and marketplace environments.
The operating throughline is consistent: architect discovery, behavior loops, and platform foundations that scale outcomes instead of isolated features.
Flagship Systems
Three systems that define my operating range
Skillshare 2024–2025
System
AI Discovery System
Conversational + semantic retrieval architecture for precise learning discovery and recommendation quality.
Reduced search friction while improving discovery confidence and content relevance.
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AI Strategy MCP Semantic Search RAG Platform
Skillshare 2024
System
Community Growth Engine
Follow-feed engagement architecture that compounds peer activity into repeat creator and learner loops.
Delivered +25% daily engagement lift through stronger community interaction loops.
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Community Engagement Feed Discovery
SENAI 2020–2022
System
Learning Platform at Scale
Multi-channel operating architecture for content, delivery, and institutional rollout across regional units.
Enabled ecosystem transformation across 500+ schools with unified digital learning execution.
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Digital Transformation EdTech Government Scale
Systems
Product systems, not just project pages
Explore the operating modules behind the work: architecture, principles, and linked execution evidence.
Architecture block
AI Discovery System
Hybrid discovery architecture combining semantic retrieval, lexical precision, and conversational orchestration for learning intent resolution.
Explore system Architecture blockCommunity Growth Engine
Loop-based community system connecting creator activity, feed distribution, and follow behavior into repeat engagement.
Explore system Architecture blockContinuous Discovery OS
Operating system for weekly evidence intake, synthesis, prioritization, and decision review.
Explore system Architecture blockLearning Platform at Scale
National-scale learning architecture connecting strategy, content infrastructure, educator operations, and learner access surfaces.
Explore systemHow I Think
Product lenses I apply in every environment
Product principle
Great marketplaces are behavior systems, not catalog pages.
Product principle
Discovery is an operating habit, not a workshop ritual.
Product principle
Community products need loops, not one-off features.
Selected writing
How I think about AI, discovery, learning systems, and marketplaces
AI
How to Design an MCP Layer for Your Product
What the Model Context Protocol actually is, why it matters for product managers, and how to design an MCP integration that makes your product genuinely smarter — not just AI-washed.
Read AIDesigning AI Features That Augment, Not Replace
The AI features that fail are the ones trying to replace human judgment. The ones that succeed make humans better at being human. Here's the design framework I use to tell the difference.
Read EdTechEdTech at Scale: What I Learned Transforming 500 Schools
The systems, the surprises, and the hard-won lessons from building a national digital learning ecosystem across 500+ SENAI schools in Brazil — and what it taught me about product at scale.
ReadContact
Open to leadership conversations in AI product strategy, learning systems, and community-led growth.
If you're building products where AI, behavior design, and platform strategy need to work as one system, let's talk.