MLOps / DevOps Engineer and Data Analyst

I design and build reproducible ML pipelines, cloud-native infrastructure, and automated data systems that bridge experimentation and production environments. My work focuses on automation, infrastructure as code, containerization, and scalable data workflows.

Containerized monitoring system for time-series data.

• Docker-based architecture
• CI/CD with GitHub Actions
• InfluxDB for time-series storage
• Automated deployment workflows

Cloud & Infrastructure
AWS · Azure · Terraform · Docker · Kubernetes · GitHub Actions

Data & ML
Python · PostgreSQL · MySQL · MongoDB · InfluxDB

Systems
Linux · Bash · Automation scripting

• Production-grade Kubernetes environments
• Scalable ML infrastructure
• Cloud architecture patterns

• Email: [email protected]
• LinkedIn: linkedin.com/in/cpgarcia518

Thanks for visiting my profile, and feel free to reach out if you want to connect or collaborate!