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

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