João Víctor López Matias
Brazilian founder-engineer / AI systems / product craft

João Víctor López Matias

Brazilian AI engineer building agentic systems, retrieval infrastructure, and product-grade experiences that actually ship. I work across multinational AI workflows, founder-led product design, and the long arc of building globally from Brazil.

Built in BrazilStanford + YC trajectoryFounder-grade product instinct
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João Víctor López Matias at Stanford.
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Currently shipping

Multinational AI systems by day, Astrea by night.

Product proof, narrative context, collections, and an AI layer that feels central instead of ornamental.

Quick route

Open Astrea in detail

The project where product instinct, AI architecture, and symbolic UX all meet.

Current role

AI Integration Engineer

Shipping agentic workflows, retrieval systems, and operational AI inside FI Group.

Founder build

Astrea

An AI-native product for astrology, ritual, and emotionally resonant interaction design.

Global chapter

Stanford Summer 2024

A formative bridge between Brazil, Silicon Valley, systems thinking, and founder ambition.

Execution arc

Computer vision + RAG

Production AI delivery across computer vision, retrieval, research, and product systems.

Flagship product

Astrea is João's clearest consumer AI product surface.

A ritual-first mobile experience where symbolic interaction, live context, and memory-aware guidance are treated like a real product system, not a novelty layer.

Consumer AI build

A structured walkthrough of the current Astrea build.

Astrea is João's most productized consumer AI build right now: a premium mobile experience around ritual, live sky context, emotionally intelligent guidance, and dream-aware reflection.

The walkthrough below is organized the way a founder would explain the product to a sharp early user, product designer, or YC reviewer: what the user sees, what the interaction is doing, and why the system feels differentiated.

It is designed like a real product surface, not a content feed with an API taped on top.

Founder-led consumer AIMemory-aware ritualsSymbolic interaction design

Ritual foundation

Intention-setting flows that make symbolic interaction feel tactile and deliberate.

Live sky layer

A cosmos surface that gives the product atmosphere, orientation, and daily relevance.

Witness conversations

Constellation-specific guidance that makes the AI feel native to the category.

Dream rituals

A second behavioral loop around sleep, recall, imagination, and memory-building.

Current preview focus

Venus intention flow

A symbolic ritual that turns desire into a tactile, premium interaction.

Astrea starts from emotional UX, not generic chat. This screen turns a Venus moment into a guided action: choose the intention, write the commitment, and let the interface make the ritual feel deliberate.

Symbolic interface with clear emotional purposeTurns passive astrology into an action loopFeels premium, intimate, and behaviorally sticky
Astrea project page

Walkthrough structure

Screens `1–10` are organized into product chapters so the demo reads like a launch-story surface, not a screenshot dump.

AI João

Grounded by story, proof, and memory.

The AI layer is designed to feel like a real founder interface, not a bolted-on chat widget. It understands João's collections, projects, milestones, and public proof so visitors can navigate the site through conversation.

Grounded in approved memory and public proof.
Collection-aware answers across Stanford, YC, Paris, and product work.
Built to feel personal, concise, and first-person from the start.
Connected to projects, search, and João's broader founder archive.

Featured Projects

The products and systems behind the trajectory.

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Collections

A founder archive organized by chapter.

The site now works like a story universe: Stanford, YC, Paris, infrastructure, and product-building moments grouped into intentional collections instead of a flat gallery.

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Project Gallery

Projects and proof

A working archive of products, proof, and technical systems behind João's builder trajectory.

Story

About

João Víctor López Matias is an AI engineer from Ceará, Brazil, building at the intersection of systems, product, and interface. He studies Computer Engineering at Unifor, has shipped production AI systems across multiple domains, and approaches software as something that should feel both intelligent and intentional.

In 2024, he became a visiting student at Stanford, where he studied high-performance computing, energy, creativity, and startup thinking inside the environment that shaped Silicon Valley. The experience deepened his conviction that technology should not be treated as isolated code, but as a vehicle for products that change how people think, work, and create.

Before and around that chapter, João built a reputation in Brazil for taking initiative early. He was selected as a Huawei ICT Academy ambassador, founded the Huawei Club Unifor, earned national recognition through the program, and used those opportunities to align education, community-building, and emerging technology around real outcomes.

Professionally, his work spans computer vision, retrieval systems, legal AI research, and agentic internal tooling. At Moldsoft, he shipped production computer-vision systems; in research, he worked on legal classification and hybrid retrieval; and at FI Group he focuses on internal AI workflows, RAG infrastructure, and deployment-minded systems for real business teams.

Today, that technical depth is converging with a stronger founder identity. Astrea represents that next phase: a consumer AI product that blends symbolic interface design, ritual, emotional UX, and agentic behavior into something more alive than a static app. The throughline across all of João's work is the same: build products that are elegant on the surface, rigorous underneath, and meaningful enough to matter in the real world.

João at Stanford campus.

Stanford, summer 2024.

João and peers inside a datacenter environment.

High-performance computing and systems exposure during the Stanford experience.

Contact

Build something ambitious with me

Open to founder conversations, product opportunities, and ambitious AI work that deserves taste as much as technical depth.

Built as a founder archive, product surface, and AI-native personal universe.
Open Astrea in detail

Late-Night Build Log

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