Matheus · Kindrazkiabout · idx.04
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[ / 04 who i am ]

About me— CTO & co-founder

CTO & partner at Applause.team, leading its transformation into an AI-first company. Co-founder at MokLabs Venture Studio, founding team at Lugui.ai, and AI Research Fellow at CEIA (UFG). Nearly a decade turning complex systems into product velocity — from platforms used by millions to AI-native ventures.

scroll · journey · philosophy · writing

[ journey ]

From code to technical leadership

2017

First lines shipped

Mobile and web internships (UFPR, Corpo de Bombeiros PR) then agency work — PHP, WordPress, Node.js, React Native for real clients.

2019

Engineering Manager

Led a small team at Mentores Digital: custom client platforms, APIs (Express/Adonis), React & React Native apps, ERP integrations.

2020

Joined Arco Educação

Came in as a Software Engineer at one of Brazil’s largest edtechs — frontend platform work across pedagogical products.

2021

Staff Engineer

Stepped up to Staff: microfrontend architecture with Module Federation, design-system governance, and DX across squads.

2025

Principal Engineer of AI

Consolidated as Principal Engineer of AI at Arco. Last delivery: the AI essay-correction platform for ENEM — led the core pipeline and owned the computer-vision model reading handwritten essays, serving millions of students.

2026

CTO, partner & research fellow

Left Arco after nearly six years and became CTO & partner at Applause.team — with equity and a mandate to make the company AI-first. Co-founded MokLabs, joined the founding team at Lugui.ai, and became an AI Research Fellow at CEIA (UFG).

[ philosophy ]

Engineering principles

01

Coherence over cleverness

Systems should be predictable, not impressive.

02

Governance as enabler

Lightweight structures (RFCs, ADRs) that prevent chaos without bureaucracy.

03

DX as leverage

Remove friction and teams move faster with higher quality.

04

AI as engineering

Observability, evaluation, datasets, and metrics; not magic.

05

Documentation as source of truth

Canonical, versioned, discoverable.

06

Pragmatic depth

Deep enough to be correct, simple enough to be maintainable.

[ formation ]

Software Engineering — PUC-PR (2019–2024), specialized in Cloud Computing (AWS) & DevOps.

Analytical, visual, systems-oriented thinker. I value clarity, structure, and operational precision.

idx.04·curitiba — BRT·always curious