Software Engineer and Full Stack Python Developer with 10+ years of experience in large-scale infrastructure, systems integration, and backend automation. Currently building AI-native applications and production-grade backend systems. Deep expertise in cloud-native architecture and AI-Native Systems Engineering.
Background spans from national-scale network programmability at large ISP (Internet Providers) to backend/Voice Automation Systems at multinational corporations — strong foundation in distributed systems, automation pipelines, and real-world production environments.
Open to Backend / Python Developer roles. Available to full-time and contract opportunities. Eligible for visa sponsorship.
Dec 2024 – Present
- Developed and maintained Python automation scripts managing configuration deployment across 18,000+ switches and 7,000+ sites, eliminating manual effort on large-scale rollouts
- Built tooling to automate data collection, health checks, and reporting for a national SD-WAN deployment covering 5,000 sites
- Designed and documented PoCs integrating automation pipelines into project delivery workflows for Caixa Econômica Federal and Bank of Brazil
- Collaborated with TAC/GTAC engineering teams to troubleshoot and resolve complex backbone incidents using systematic debugging methodologies
- Led scope definition, technical documentation, and change management for multi-site infrastructure programs
Jul 2023 – Dec 2024
- Automated recurring configuration tasks and network audit workflows using Python and Bash, improving team efficiency in a high-volume NOC environment
- Built internal scripts to parse logs, correlate incidents, and generate structured technical reports for Caixa Econômica Federal's nationwide network
- Implemented security hardening policies and dynamic routing configurations across Cisco and HP routers via scripted deployment
- Applied version-control-style discipline to configuration management for VLAN segmentation and topology documentation
Dec 2022 – Jun 2023
- Developed operational runbooks and automation procedures for Asterisk/VoIP systems, reducing MTTR on PBX incidents
- Integrated new features into Asterisk (dialplan scripting, IVR logic, unified messaging) — directly applicable to backend logic and event-driven programming
- Conducted performance audits, produced structured technical reports, and mentored junior engineers on troubleshooting methodology
Sep 2017 – Nov 2022
- Automated complex call-routing logic in Asterisk using dialplan and AGI scripting (Python/PHP), building custom IVR flows and integration hooks
- Led PBX implementations end-to-end — from technical design through testing and deployment — directly analogous to backend service delivery
- Mentored junior engineers and established repeatable processes for configuration, incident response, and documentation
Jan 2012 – Sep 2017
- Installed and commissioned datacom equipment and PABX systems across enterprise sites
- Performed network diagnostics and preventive maintenance, building deep understanding of low-level protocols and system behavior
| Degree | Institution | Period |
|---|---|---|
| Bachelor of Software Engineering | UNINTER | 2024 – 2028 |
| Bachelor of Economics & Finance | Catholic University of Brasília | 2019 – 2023 |
| Technical Degree in Telecommunications | Institute Forma Brazil | 2021 – 2022 |
| Certification | Issuer |
|---|---|
| Solutions Architect Professional | AWS |
| Project Management Professional | PMP |
| HCIP – ICT Professional – Datacom | Huawei |
| HCIA – ICT Associate – Datacom | Huawei |
| OCI Architect Associate | Oracle Cloud |
I actively contribute to and follow:
- Open WebUI — Open-source AI interface
- Anki — Spaced repetition platform
- OpenClaw — Game engine
- HuggingFace — ML/AI ecosystem
▸ Building production-grade AI-native portfolio projects
▸ Mastering LLM integrations & agentic patterns
▸ AWS cloud deployments at scale
▸ Expanding open source contributions
▸ Relocating to Europe
Ship a working prototype as soon as possible. Validate the idea. Generate proof of concept to learn quickly if the Product have a market-fit. If positive; Continue and Improve. If negative; Pivot.
- Ship fast, iterate later.
- Ship quality code, learn continuously.
- Ship value, not complexity.
- Ship the minimum that works; expand from proof.
- Ship working prototypes before architectural debates.
Eating good food · Reading sci-fi books · Watching new movies · Still coding
Available for Backend / Python / Full-Stack roles in the EU