Head of Product at LatAm's largest mobility platform. Eight years turning ambiguity into systems, partnerships, and scaled outcomes at enterprise.
I grew up in Divinópolis, in the back of my parents' print shop, watching ink dry and orders pile up. That shop taught me the only lesson about technology that ever really stuck. It only matters when it changes how someone earns a living.
I followed that instinct into a robotics lab at UFMG, then spent eight years at Localiza. There I learned the hardest part of AI is not the model. It is earning the trust of the person who has to act on it. INSEAD pulled me out of Brazil and into rooms with operators from forty countries. I came back building multi-agent AI products. Four of them are now in production.
The common thread: autonomous systems that earn human trust.




Weekend builds exploring agent architectures, voice interfaces, and grounded AI — shipped for real users.
Eight years of outcome-driven product leadership at enterprise scale — from IEEE-published robotics research to $46M+ in strategic partnerships and four multi-agent AI products in production.
Phenomenological modeling of the system to derive a starting point for controller design; PID tuning validated on hardware.
Computer vision, ML, autonomous systems. First-authored at XII LARS — Latin American Robotics Symposium III. Full navigation stack validated on real Roomba hardware.
Lead algorithm developer against 10 state universities in Brazil's premier autonomous robotics contest.
Brazil's top engineering program. Robotics, autonomous systems, and control theory.
End-to-end ownership: partner scoping, product definition, technical architecture, and launch.
Product–engineering exchange that scaled into Data Science, Front-end, and Back-end chapters.
End-to-end: model architecture (RandomForest), production integration, CRM risk screening. High-precision blocking without disrupting legitimate traffic.
Co-developed 2 of 5 XGBoost models. 10-engine system autonomously pricing every branch in LatAm. Shifted ~100 squads company-wide from output to outcome roadmaps.
$10M+ incremental revenue at 2× ROI. Coached 12 PMs — 4 promotions, 1 turnaround. Hackathon winner: GenAI OKR tool adopted by ~100 PMs.
The London School of Economics and Political Science. Oct 2024 – Dec 2024.
Multi-divisional integration navigating technical and regulatory complexity. Shaped national policy enabling industry-wide adoption.
Cross-border referral product spanning multiple internal systems and partner APIs. Bridged commercial, technical, and regulatory complexity across two countries.
Hands-on with engineering and Enterprise Holdings (US) executives. Unified platform consolidating LatAm's two largest rental networks.
3-agent voice coaching platform, built solo. Adopted by INSEAD negotiation faculty as live pilot. Official Manus.AI (Meta) Ambassador.
Co-President, Latin America Club. Coached peers shipping multi-agent AI systems and LLM integrations.
Issued Mar 2022.
Issued Nov 2021.
Issued Jun 2017.
IEEE certificate, Oct 2015.
"The best product leaders translate ambiguity into systems, incentives, teams, and products that compound business impact — not just ship features."
I work at the intersection of AI and enterprise transformation. Reach out if you're building something ambitious — always open to sharp conversations with founders, operators, and product leaders.