Douglas Henrique Gouveia

Build production AI platforms where AI meets real operational risk: regulated financial workflows, source-verified recommendation engines, multi-tenant content operations, and internal systems for agency projects, billing, and client delivery. Architecture pattern: AI does repetitive reasoning at scale, humans keep judgment, and every action leaves an audit trail.

Complex backend architecture with high-performance database structures and sophisticated API connectors. Advanced logic and workflows with intricate 'code-like' logic and custom states solving business problems beyond standard templates.

Led discovery, translating client visions into Project Playbooks, prototypes, and task roadmaps. Architected the internal 'Company OS'—SOPs, OKRs, talent pools, and leads—plus a Project Management System, Feedback Rating System, and AI-driven Business Idea Refiner.

Owned the full Bubble.io stack: frontend design, backend workflows, optimized schemas, and third-party API integrations. Translated Figma prototypes into technical requirements and managed milestones from wireframing to final QA and deployment.

Built a company scalability and innovation-readiness assessment tool grounded in 10+ years of research; authored 8 Technological Plan worksheets and a technical, economic, and environmental feasibility study that guided executive investment decisions.

Master's in Engineering Management from the University of Debrecen, completed in 2021.

Bachelor's in Production Engineering from the Universidade Federal de Viçosa, completed in 2017.

Industrial Engineering exchange program at Arizona State University during fall 2014.

American Language Studies (PALS-NB) at Rutgers University from 2013 to 2014.