"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-1)

• Concept: A multi-threaded "Producer-Consumer" framework designed for high-stability audio applications (specifically for the MiniDSP UMIK-1).
• Architecture: Decouples Hardware I/O ("The Ear") from Signal Processing ("The Brain") using thread-safe queues. This architecture prevents blocking operations from causing audio glitches or buffer overruns.
• Features: Includes ready-to-run modules for Real-Time Metering (RMS/LUFS), Calibration (loading UMIK-1 sensitivity files), and Lossless Recording.
• 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 Loop)

• Concept: A proof-of-concept (Poc) Control Plane component.
• Logic: Implements a Look -> Compare -> Converge loop (Feedback Control) to enforce configuration state.
• Stack: Python, Docker SDK
• 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