Fail fast. Improve continuously.
🇨🇱 Chile • Remote/Hybrid work • LATAM timezone (UTC-3)
Cloud & Automation • Python • Linux • AWS • Transitioning into Cloud/DevOps
I'm a developer with hands-on experience in automation, cloud support, and technical troubleshooting, currently transitioning into the Cloud/DevOps ecosystem.
I’ve worked in hybrid environments using Python, Bash, Linux, Terraform, CI/CD (GitLab, Bitbucket, GitHub Actions), JFrog, API integrations, Google Chat Bot, and Docker (familiarity), always focused on improving operational efficiency and reducing repetitive manual work.
My learning philosophy is simple:
experiment quickly, learn intentionally, and improve continuously.
I'm currently completing AWS re/Start (Cloud Practitioner) and recently finished a Diploma in Python & Data Science, strengthening a path that connects backend logic, cloud fundamentals, systems thinking, and automation.
- AWS fundamentals: VPC, IAM, CloudWatch, EC2, S3
- Python & Bash automation (logs, validations, small workflows)
- Linux operations: diagnostics, permissions, processes, monitoring
- Terraform basics for IaC
- CI/CD: GitLab CI/CD, Bitbucket Pipelines, GitHub Actions (familiarity)
- Strengthening backend problem solving and cloud-native thinking
- Basic operational continuity and monitoring in AWS
- REST API integrations
- Clear documentation & reproducible processes
- Simplicity and intentional design
- Service reliability, automation, and operational efficiency
- Learning as a discipline, not just a goal
- Break → understand → improve
Check my pinned repositories below —
they reflect my focus on cloud fundamentals, Python automation, and hands-on learning.
Fail fast. Improve continuously.




