Matheus Schumacher

I build LAM AI-as-Tool agents at DeepMind-level depth—production systems engineered with a proprietary 12-layer cognitive framework spanning perception, memory, security, and outcome optimization.

With 6+ years of full-stack and AI engineering experience, I design architectures that are cost-efficient, scalable, and built to evolve autonomously via Recursive Self-Improvement systems and original mechanisms like Success Trace Extraction.

I craft Awwwards-level UI/UX powered by GSAP and Framer Motion, translating brand direction into high-performance, human-friendly experiences. I also architect backends with Clean Architecture and cyber-security best practices, so delivery feels rigorous from inception to “zero-bug” final handoff.

In recent roles, I designed and shipped agentic commerce platforms, including AI inbox triage, automated product engine workflows that cut launch time dramatically, and secure post-purchase tracking with branded delivery experiences. I’m also comfortable owning the hard parts end-to-end: full-stack architecture, real-time layers, AI pipelines, and deployment/operations.