Computer Engineer focused on DevOps, Platform Engineering, Cloud Infrastructure, and Software Engineering.

I work with cloud-native infrastructure, Kubernetes, CI/CD automation, Infrastructure as Code, observability, Linux systems, and distributed platforms. My experience includes production environments across AWS, Kubernetes, HPC/Slurm workloads, Web3 infrastructure, industrial IoT systems, and high-volume data processing.

I enjoy building reliable systems that connect infrastructure, software, automation, and operations.

• Computer Engineer graduated from the State University of Ponta Grossa
• Hands-on experience with DevOps, Platform Engineering, AWS, Kubernetes, CI/CD, Infrastructure as Code, and production operations
• Background in software engineering, including backend APIs, microservices, frontend applications, and API integrations
• Experience building and operating platforms involving HPC/Slurm, JupyterHub, Keycloak, LDAP, Vault, Kafka, MQTT, MongoDB, and distributed workloads
• Worked with high-traffic Web3 infrastructure, including globally distributed blockchain RPC services handling millions of requests per day
• Built industrial IoT systems for factory-floor monitoring, high-volume telemetry processing, and real-time supervisory dashboards
• Academic background in Machine Learning, Computer Vision, image processing, agriculture, and healthcare research

• Cloud Infrastructure
• Platform Engineering
• DevOps & Site Reliability Engineering
• Kubernetes & Container Orchestration
• Infrastructure as Code
• CI/CD Automation
• Observability & Production Operations
• Distributed Systems
• HPC & Slurm Workloads
• Industrial IoT & Data Processing
• Web3 Infrastructure

Cloud & Infrastructure:
AWS, EC2, ECS, EKS, Lambda, RDS, DynamoDB, S3, CloudFront, Load Balancers, IAM, VPC, Route 53, CloudFormation, Terraform, AWS CDK, Cloudflare

Containers & Platform:
Kubernetes, Docker, Docker Compose, Helm, Argo CD, MicroK8s, LXD, Istio, Kubernetes Operators, Slurm, JupyterHub, Kubeflow

CI/CD & Automation:
GitHub Actions, CI/CD pipelines, Infrastructure as Code, Ansible, Bash, deployment automation, release workflows

Observability & Operations:
Prometheus, Grafana, Loki, monitoring, alerting, logging, incident response, disaster recovery, backups, post-mortems, production support, cost optimization

Identity, Security & Networking:
Linux, Nginx, TLS/SSL, DNS, CDN, WAF, VPN, Keycloak, Vault, LDAP, Active Directory, SSSD, IAM, OAuth2, OIDC, SAML

Programming & Data:
Python, TypeScript, JavaScript, Node.js, NestJS, Next.js, React, REST APIs, GraphQL, microservices, PostgreSQL, MySQL, MongoDB, Kafka, RabbitMQ, MQTT, gRPC

Worked on infrastructure components for a cloud-native compute platform involving Slurm-based HPC clusters, on-demand Kubernetes environments, JupyterHub, Keycloak, LDAP/Active Directory, Vault, Istio, CI/CD, and Infrastructure as Code.

Contributed to the migration from a single-tenant Kubernetes model to a multi-tenant architecture with shared platform services and isolated organization-level databases.

Designed and operated globally distributed Syscoin RPC infrastructure on AWS using ECS, Load Balancers, CloudFront, Terraform, and custom Nginx/Lua/JavaScript proxy layers.

The platform supported low-latency access, multi-region deployments, security filtering, wallet/contract allowlists and blocklists, monitoring, and traffic scaling to millions of requests per day at peak usage.

Architected and developed an end-to-end industrial IoT platform for real-time factory-floor monitoring using Next.js, NestJS, TypeScript microservices, VerneMQ, Kafka, gRPC, MongoDB time series collections, Kubernetes, and Docker Compose.

The platform was designed for cloud-agnostic and on-premise deployments, supporting high-volume telemetry processing and real-time supervisory dashboards.

Building a self-hosted platform operations dashboard to manage services, deployments, domains, TLS certificates, health checks, infrastructure metadata, and operational status across Docker, virtual machines, and Kubernetes environments.

Experimenting with local and privacy-focused AI workflows using ComfyUI, Ollama, local LLMs, image generation models, and GPU-based inference. Focused on model deployment, workflow automation, dependency management, GPU resource constraints, and offline AI tooling.

Most of my recent work involves infrastructure, platform engineering, automation, internal tooling, and private repositories. Public repositories here are mainly used for experiments, personal projects, learning, and selected open examples.