Available for Opportunities

Matheus Schumacher

Senior Fullstack Developer · AI Engineering Specialist

👤

About Me

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 3 Recursive Self-Improvement (RSI) systems and 13 original mechanisms including Success Trace Extraction.

I also craft Awwwards-level UI/UX systems powered by GSAP and Framer Motion, design animated brand identities, and engineer solid backends with Clean Architecture and Cyber-security best practices. I plan software as an architect — from inception to a zero-bug final delivery.

🧬

LAM Agent Framework — 12-Layer Architecture

L0
Perception
Deterministic preprocessing — OCR, Voice, and multimodal input normalization before the LLM
L1
Adaptive Decision
Dynamic strategy selection and inference scaling per task complexity
L2
Bayesian Belief
Probabilistic modeling that continuously learns and updates user preferences
L3
Manifold Controller
Selective, semantically-justified information flow (mHC) to prevent context pollution
L4
Memory
OpenViking context management + TurboQuant compression (6× efficiency)
L5
Latency-Aware
Parallel execution engine with speculative pre-execution for sub-second responses
L6
State Compression
Two-tier context management: 85% skim pass / 15% dense retrieval
L7
Outcome Optimization
Strategic pursuit of measurable business goals with ROI as the north star
L8
Hallucination Guard
Best-of-N verification with rigorous claim extraction and source grounding
L9
Emotional Intelligence
Affect tracking and real-time tone adaptation for human-aligned interaction
L10
Orchestration
Tool integration via MCP protocol and LAM agents (UI-as-tool paradigm)
L11
Security
Hardened defense against prompt injections, data leaks, and adversarial inputs

Key Edge: 13 original mechanisms (including Success Trace Extraction) + 3 Recursive Self-Improvement (RSI) systems — your agent evolves autonomously after deployment.

Core Competencies

🤖
AI Agent Engineering
LAM-style multi-agent systems, MCP, LangChain, CrewAI
🌐
Full-Stack Development
React, TypeScript, Node.js, Python, Next.js, Vite
🎨
Awwwards-Level UI/UX
GSAP animations, Framer Motion, animated brand logos
🧠
LLM Integration
GPT, Claude, Gemini, Fine-tuning, Ollama, RAG pipelines
⚙️
System Architecture
SOLID, Clean Code, Cyber-security, performance engineering
☁️
Cloud & DevOps
Docker, Kubernetes, AWS, GCP, CI/CD, cost reduction
🗄️
Database Design
PostgreSQL, MongoDB, SQL Server, Redis, Firestore
🔒
Security Engineering
Prompt injection defense, zero-trust, OWASP, data privacy
💼

Experience

Full-Stack & AI Engineer

Freelance/Contract · Remote

Jun 2023 — Present
  • Designed and deployed Syne (syne-spark.com) — a LAM-style agentic quoting platform with autonomous negotiation and real-time pricing logic
  • Shipped a Humanized WhatsApp Sales Assistant — an agent that learns from top-performing sellers to automate FAQs and product links while maintaining a human conversational tone
  • Developed a custom Android POS Application for Newland N960K smart terminals, enabling seamless on-device transactions and operations
  • Architected full-stack applications with React/TypeScript, Node.js/Python backends, real-time WebSocket layers, and AI pipelines reducing manual workflow time by 70%+

Senior Fullstack Developer

LB Solutions · Remote

Jan 2026 — Present
  • Architected LB Solutions, a unified Commerce OS that converges product launches (NewDrop), checkout flows (HeroCart), and team operations (LB Platform) into a single ecosystem
  • Developed InboxFlow, an autonomous hybrid-AI email agent that auto-triages 24 categories, flags urgent threads, and executes contract review using unified Engram memory
  • Engineered the NewDrop product engine to automate catalog generation and SEO copy, reducing product launch time to <3 minutes and saving 40+ hours per team weekly
  • Built real-time logistic sorting, Kanban management, and an integrated Finance Hub, contributing to a 98% team sync rate and a 340% revenue lift for core commerce clients
  • Engineered LB Tracking, a premium post-purchase tracking platform for Shopify dropshippers featuring native webhook integration, custom CNAME domains, and fully branded order pages
  • Implemented Carrier Masking algorithms powered by 17track API (2,400+ global carriers), hiding supplier origins and converting Chinese logistics traces into a premium branded customer journey

Mid-Level Fullstack Developer

AtivaRecargas.com · Remote

Oct 2025 — Dec 2025
  • Acted as the sole developer for the platform, architecting and shipping end-to-end website features, complex cron jobs, and seamless database updates
  • Executed core PHP backend maintenance while delivering modern front-end upgrades, including dynamic background animations and comprehensive visual overhauls

Junior Programmer

Integrum Inteligência Industrial · Hybrid

Sep 2024 — May 2025
  • Developed industrial ERP system using Delphi with Firebird database, serving 100+ enterprise clients
  • Built LLM-powered documentation chatbot using OpenAI API, reducing ticket resolution time by 45%
  • Automated documentation pipeline with PasDoc and Jenkins, reducing time from 3 days to 2 hours
  • Increased test coverage from 20% to 75% with DUnitX and TestComplete

AI Model Evaluator & Trainer

Remotask / Outlier · Remote

Aug 2022 — Jun 2023
  • Evaluated Large Language Model outputs across complex reasoning, code generation, and NLP tasks
  • Conducted prompt engineering and RLHF workflows for major AI research labs
  • Reviewed AI-generated code for correctness, safety, and adherence to best practices

Embedded Firmware Intern

Pramel Equipamentos Eletrônicos · On-site

Jan 2022 — Aug 2022
  • Developed firmware for PIC, ESP32, and STM32 microcontrollers for industrial applications
  • Designed PCB layouts and electronic circuits for power monitoring systems
  • Created machine automation systems for metallurgical industry clients

Freelance Developer & Hardware Enthusiast

Independent Study & Local Clients

Aug 2017 — Dec 2021
Foundational period of study and specialization, building casual freelance platforms and embedded systems for peers and academic instructors.
  • Embedded IoT & Hardware: Engineered a Three-Phase Softstarter, automated Solar Tracker, and a Smart Traffic controller with full IoT integration
  • Software Applications: Developed a Smart Recruitment System featuring dynamic, adaptive questionnaires
  • Local Projects: Delivered diverse software and hardware micro-projects to assist teachers, friends, and community members
🛠️

Technical Stack

Languages
TypeScript ★ (web / all platforms) Python (bots / AI / training) Rust (systems / perf-critical) C# .NET (enterprise / large clients) Go (CLI tools) C (embedded systems) Java (on demand)
Mobile
React Native ★ Flutter TypeScript Expo (Expo Go / browser testing) Android POS (Newland N960K)
Desktop
Electron TypeScript SQLite (embedded storage)
Frontend
React ★ TypeScript ★ Next.js (SSR / Vercel deploys) Flutter Vanilla CSS GSAP + ScrollTrigger Framer Motion Canvas API Three.js / WebGL Lenis Smooth Scroll Glassmorphism CSS Houdini (@property)
Backend
TypeScript ★ C# .NET ★ Node.js NestJS Express FastAPI REST APIs WebSockets BullMQ GraphQL
AI Engineering
LLM API Orchestration Agentic Pipelines Prompt Engineering RAG Systems Multi-Agent Systems MCP Protocol OpenAI API Gemini API Claude API Vision & OCR
Cloud
Firebase (Primary) GCP AWS Azure Docker Kubernetes
Deployment
Firebase Hosting SSH Deploy Scripts Hostinger Auto GitHub Push GitHub Actions CI/CD Pipelines Automated README Reports Zero-downtime Deploy
Databases
Firestore Supabase PostgreSQL MongoDB Redis SQL Server MySQL SQLite
Cybersecurity
Zero-Trust Architecture AES Encryption SHA-256 Bcrypt / Argon2 JWT / PASETO / OAuth RBAC / ABAC OWASP Top 10 CORS / CSRF / XSS Protection Rate Limiting Prompt Injection Defense
🎓

Education & Certifications

🏛️

UniRitter University

Bachelor of Computer Science

In Progress · Expected 2028

Fundação Liberato

Technical Diploma in Electronics

2022 · Embedded Systems & Industrial Automation

⚙️

Digital Innovation One (DIO)

Backend Development Bootcamp

2019 · Concluded

💻

Digital Innovation One (DIO)

Frontend Development Bootcamp

2020 · Concluded

🤖

Digital Innovation One (DIO)

AI Specialist Bootcamp

2021 · Concluded

🌍

Languages

🇧🇷
Portuguese
Native
🇺🇸
English
Fluent (C1)
🇪🇸
Spanish
Basic (A2)

The Ultimate AI Agent Architecture

A Complete Engineering Guide to Building Adaptive, Self-Improving AI Agents

42 Chapters 12-Layer Framework 3 RSI Systems 13 Original Mechanisms
Part I

Foundations & Philosophy

Establishing a cognitive baseline: shifting from reactive chatbots to goal-driven autonomous pipelines.

🔍 Context-First Paradigm
Every action must be justified against a persistent, evolving user context model.
🛡️ Deterministic Fences
Hardened deterministic layers wrapping the non-deterministic LLM core.
Part II

The 12-Layer Cognitive Architecture

L0/L1: Perception & Decision
Multimodal preprocessing and dynamic strategy selection (fast vs. deep thinking).
L2/L3: Belief & Flow Control
Bayesian continuous learning combined with the Manifold Controller (mHC) to prevent context pollution.
L4/L5: Memory & Parallelism
OpenViking state management paired with speculative pre-compilation for low latency.
L6/L7: Compression & Outcomes
TurboQuant context compression (6x ratio) and ROI-driven pursuit of business goals.
L8/L9: Grounding & Emotion
Best-of-N source-backed hallucination verification and real-time empathic tonal adaptation.
L10/L11: Action & Defense
UI-as-Agent tooling execution (via MCP) embedded within a strict zero-trust security perimeter.
Part III

Original Innovations & RSI Systems

🌟 Success Trace Extraction
Automatically catalogs successful reasoning chains to reduce inference latency for similar queries.
🔄 Recursive Self-Improvement
Three isolated loops that critique, rewrite, and elevate prompt strategies based on historical failure criteria.
📦 TurboQuant Compression
Proprietary algorithm achieving a 6x context compression ratio by aggressively discarding conversational filler.
⚡ Manifold Controller (mHC)
Semantic gating ensuring the LLM only accesses state pieces explicitly relevant to the *current* reasoning step.