Antonio Da Fonseca
Freelance Platform & MLOps Engineer

On a permanent contract for a production AI platform, I own the full lifecycle of developing, deploying and monitoring ML and LLM models.

• IaC architecture overhaul: migration and consolidation of 30+ Terraform modules into a modular v2 multi-provider structure — less duplication, faster onboarding onto new environments.
• Multi-cloud infrastructure management (AWS, GCP, Scaleway) across 50+ client environments: harmonized naming conventions, variables and outputs across the 3 providers for consistency and maintainability at scale.
• Full AI/ML monitoring stack: Prometheus (infra metrics), Grafana (real-time dashboards), OpenObserve (log aggregation).
• Cloud cost optimization: full AWS audit, Reserved Instances, EC2/RDS rightsizing — 30% lower monthly spend.
• Close collaboration with Data Science teams: model productionization, inference latency optimization, ML pipeline improvements.
• Automated ML model deployment via GitHub Actions: full CI/CD with automated tests, model validation and progressive rollout.
• MLOps architecture documentation: infrastructure diagrams, operational runbooks and troubleshooting guides.

On a DevOps engineer mission for a premium sneakers e-commerce platform: AWS cloud infrastructure and DevOps automation.

• Incident diagnosis & resolution: analysis and resolution of production and development incidents (application errors, deployment issues, performance degradation) using New Relic and AWS CloudWatch.
• Automated provisioning (IaC): development environments, ECS services and EC2 instances automated with Terraform.
• AWS IAM administration: managing accounts, groups, roles, access policies and permissions to secure cloud environments.
• Bash automation scripts: recurring operations — database backups and restores, production database access control.
• MySQL administration: users, databases, tables, access rights and application privileges.
• CI/CD with GitHub Actions & Docker: creating and maintaining Dockerfiles and GitHub Actions workflows for continuous integration and deployment.
• CI/CD pipeline optimization: deployment reliability, faster delivery and environment stability.
• DevOps ↔ Slack integration: streamlined approvals, centralized New Relic alerts, error-rate tracking and platform health monitoring.
• AWS Lambda functions (Python): automating and optimizing operational workflows.
• DevOps documentation on Notion: operating procedures, infrastructure diagrams, database access, monitoring tutorials and internal processes.

Linux systems administration and DevOps automation for a distributed multi-server infrastructure.

• Linux systems administration: user accounts and permissions via CLI, system performance monitoring (CPU, RAM, disk), log analysis for troubleshooting.
• Maintenance automation: Bash scripts for automatic system updates and security patches — maintenance time cut by 70%.
• File system configuration: disk partitioning, NFS mounts, quota management, I/O performance optimization.
• Advanced Bash scripting: automation of admin tasks (log rotation, cron jobs, incremental backups) and server health monitoring with alerting.
• Web server configuration: Apache and Nginx setup and tuning (static and dynamic sites), SSL/TLS configuration, load balancing.
• Network security: firewall rules (iptables, security groups), SSH hardening, certificate management.
• Secure remote access: key-based SSH authentication, authorized_keys management, bastion hosts.
• Virtual machine deployment: creating and managing VMs with VirtualBox and VMware for dev/test environments, reusable templates.
• Backup / recovery strategies: automated backup solutions, regular restore testing, documented disaster recovery procedures.
• Technical documentation: system configuration guides, troubleshooting procedures, architecture documentation for the team.