I am a Senior Data Analyst and MSISOM (Data Science) graduate from the University of Florida. I specialize in data science and technical infrastructure.
- AI/ML Foundations: Building neural networks from scratch and implementing local RAG systems for private document intelligence.
- Data Engineering: Managing large-scale data migrations (100GB+) and optimizing storage workflows using rclone and CLI automation.
- Infrastructure as Code: Managing an Ubuntu-based home lab with Docker, featuring self-hosted services like Immich, Nextcloud, and Nginx.
- Automation: Architecting smart home systems using Home Assistant and YAML.
- Data & AI: Python, PyTorch, SQL (Google BigQuery), Pandas, NumPy, Tableau, Power BI
- Engineering: Docker, Git, YAML, rclone
- Infrastructure & Cloud: AWS (S3, Route53, Certified Cloud Practitioner), Firebase
- Networking: Zoho (DNS & Mail Management), Google Workspace, Ubiquiti UniFi Architecture
- OS: Linux (Fedora Workstation, Arch Linux, Ubuntu Server)
- AI/Dev Workstation: NVIDIA RTX 5080 (16GB VRAM) | AMD Ryzen 7 5700X3D | 32GB RAM
- Home Server: ThinkCentre M900 (Intel i7-6700T) — hosting local monitoring and containerized services
The code in this repository is available under the MIT License. However, the content (images, blog posts, personal text, and resume) is © Michael Rodriguez and may not be used without permission.