I'm a Linux Systems Engineer passionate about building and automating infrastructure at scale — from bare-metal to cloud, from Proxmox clusters to ML pipelines.

With years of hands-on experience in infrastructure and DevOps, I design, deploy, and maintain production environments spanning SDN controllers, ZFS storage, container orchestration, and monitoring at scale — while currently expanding into Machine Learning Engineering through a postgraduate program at FIAP (PosTech).

My day-to-day involves turning complex infrastructure problems into automated, observable, self-healing systems.

Core interests:

• Infrastructure as Code & GitOps
• Observability & Predictive Monitoring
• ML Engineering applied to Operations (AIOps)
• Network Automation & SDN

Group project from the FIAP PosTech ML Engineering postgraduate program. Applied Machine Learning to real-world problems as part of the Tech Challenge curriculum — covering the full lifecycle from data exploration to model deployment.

Infrastructure and DevOps challenge project showcasing skills in CI/CD, containerization, and cloud-native deployments.

The all-in-one Magic: The Gathering companion app — built by a player, for players.

🔗 vaultspell.com

• Problem: MTG players juggle 3–5 different tools just to manage their collection, build decks, track prices, and find local events.
• Solution: VaultSpell brings everything into one place — collection manager, AI-powered deck analysis, real-time price tracking (USD & BRL), wishlist, trade/sell marketplace, and a local events & stores directory.
• Stack: React · Node.js · Scryfall API · AI/LLM · PostgreSQL
• Status: Beta — actively developed, new features shipped weekly.
• Available in 🇧🇷 Portuguese · 🇺🇸 English · 🇪🇸 Spanish

Projects built in production environments with proprietary code — happy to discuss the approaches and architectures behind them.

• Problem: Reactive storage management — teams only noticed ZFS pool exhaustion when alerts fired at critical thresholds.
• Solution: End-to-end ML pipeline that pulls historical Zabbix telemetry, runs linear regression (30/14/7-day windows with R² validation), and predicts days-until-full. Integrated with n8n for automated reporting.
• Stack: Python, Zabbix API, n8n, Linear Regression, Parquet, Ollama/LLaMA.

• Problem: No centralized visibility into circuit distribution across SDN gateways; overloaded gateways went undetected.
• Solution: Automated workflow polling the WNC SDN controller API, tracking per-gateway circuit counts with stateful thresholds, and alerting via Rocket.Chat when gateways exceed capacity.
• Stack: n8n, REST API, Rocket.Chat, JavaScript.

• Problem: Manual node provisioning with inconsistent configurations across sites (network bonds, Corosync, LDAP, ZFS pools).
• Solution: Ansible-driven automation for full node lifecycle — from network interface configuration (LACP bonds, VLAN-aware bridges, Corosync links) to FreeIPA/LDAP integration and ZFS pool creation. Idempotent playbooks covering 10+ sites.
• Stack: Ansible, Proxmox API, Bash, FreeIPA, ZFS.

• Problem: Basic ZFS monitoring only caught failures after the fact; no early warning for degradation patterns.
• Solution: Extended telemetry wrapper scripts feeding a six-axis severity model (capacity, pool integrity, fragmentation, scrub health, snapshot health, ARC performance) into Zabbix, with LLM-generated analysis summaries.
• Stack: Bash, Zabbix, Ollama/LLaMA, n8n.

• Problem: Open tickets aging silently in the backlog with no visibility for the team.
• Solution: Automated weekly JQL queries detecting tickets open >7 days, with formatted card-style notifications pushed to Rocket.Chat including direct links and metadata.
• Stack: n8n, Jira API, Rocket.Chat Webhooks.

💼 LinkedIn: linkedin.com/in/janotijr
🐙 GitHub: github.com/Janoti
🃏 VaultSpell: vaultspell.com