"Applying Engineering Rigor to Cloud Infrastructure."

I am a Staff Platform Engineer specializing in Reliability, Internal Developer Platforms (IDP), and Control Planes.

With a background in Control Theory (M.Sc.) and 12+ years in software, I treat infrastructure as a deterministic system. I apply feedback loops, state convergence, and stability analysis to build self-healing cloud platforms.

I build "Golden Paths" and automation tools that allow engineering teams to ship features without getting bogged down in operations.

• Platform Engineering: Architecting control planes that standardize the lifecycle of stateful workloads.
• Reliability Engineering: Designing systems that detect and resolve their own faults (Self-Healing).

Platform & Automation

• Languages: Python (Expert - FastAPI, Multithreading, State Machines), Go (Tooling/Providers).
• Architecture: Microservices, Event-Driven Architecture (EDA), RESTful APIs.
• Orchestration: Kubernetes (Workload Management), Terraform (Provider Dev), Ansible.
• Observability: OpenTelemetry, Prometheus/Grafana, SLI/SLO Design, RCA.

Infrastructure & Systems

• Cloud: Refactored OpenStack SDK logic into custom microservices API integrations.
• Systems: Linux Automation (systemd, Bash), IoT/Edge (Raspberry Pi).

Magalu Cloud (Staff-Track)

• DBaaS Control Plane: Leading the implementation of a proprietary Python/FastAPI provisioning engine. Refactored legacy OpenStack SDK logic into custom service microservices API integrations for higher stability.
• Terraform Provider: Fixed and hardened DBaaS resources in the official Go provider, introducing regression testing patterns to eliminate recurring bugs.
• Operational Excellence: Leading Root Cause Analysis (RCA) initiatives for complex outages and providing Tier-3 technical support, translating critical customer incidents into permanent architectural improvements.
• Self-Healing Strategy: Architecting a reconciliation layer based on Control Loop theory to automatically resolve stuck provisioning states.
• Technical Strategy: Authored ADRs and technical documentation to standardize architecture patterns across the DBaaS tribe.

Tuna Payments

• Developer Experience (DX): Engineered a "Docs-as-Code" pipeline to auto-generate OpenAPI specs, streamlining partner integrations.
• Integration Reliability: Optimized the data bridge between merchant frontends and backend payment cores to ensure analytical accuracy.
• External Integrations: Developed .NET Core services to handle XML invoice signing and integration with municipal government APIs, ensuring compliance and reliability.

🎤 Python Audio Framework (umik-base-app)

• Concept: A professional framework for building distributed audio applications with MiniDSP UMIK microphones.
• Architecture: Implements a Distributed Producer-Consumer model (via ZeroMQ) to decouple hardware I/O ("The Ear") from DSP ("The Brain"). Supports Process Isolation (Daemon Mode) for mission-critical stability on embedded devices.
• Features: Real-time LUFS/dBSPL metering, remote network monitoring (IoT), FIR calibration filtering, and a suite of forensic analysis CLI tools.
• Tech Stack: Built with modern tooling (uv, ruff, mypy) and scientific libraries (numpy, scipy, pyzmq).
• Links: 📦 PyPI Page | 💻 Source Code

🍓 LowOps Edge AI Telemetry

• Concept: A "Zero-Touch" acoustic monitoring station for edge environments (Raspberry Pi).
• Links: 💻 Source Code
• Stack: Python, systemd watchdogs, Google YamNet.
• Status: Production (Personal Use).

🔄 DriftControl (Self-Healing Infrastructure Agent)

• Concept: A lightweight, GitOps-driven infrastructure agent designed to enforce declarative configuration state in local Docker environments.
• Architecture: Built on a Feedback Control Loop pattern (Reconciler) with Multi-Service Isolation, ensuring that failure in one service does not stall the entire agent. Features thread-safe state management for Exponential Backoff strategies to handle crash loops intelligently.
• Features: Automated drift remediation (self-healing), integrated Prometheus Observability for health metrics, declarative YAML configuration, and a built-in Chaos Monkey for resilience testing and fault injection.
• Tech Stack: Built with robust tooling (pydantic, docker SDK, prometheus-client) and modern CLI interfaces (rich).
• Link: 💻 Source Code

• M.Sc. Electrical Engineering: Focus on Modeling & Control of Wind Energy Conversion Systems (UFSC).
• Innovation Award (1st Place): Awarded by WEG Electric Corp. for innovation in Motor Control.
• Patent Holder: Co-inventor of "Current Self-Control Applied to Three-Phase Electric Generators".

LinkedIn | ResearchGate