🚀 Transitioning from IT Infrastructure → AI / ML / MLOps
- Python (hands-on)
- FastAI (Practical Deep Learning)
- Machine Learning fundamentals
- Automation with Python
- 20+ years in IT (Windows, Virtualization, Cloud)
- Strong in systems, troubleshooting, and workflows
- Documenting my learning journey → learning-log
- Building real-world projects
- Exploring AI + DevOps (MLOps direction)
- Python projects
- ML models
- Automation tools
- Docker + ML deployment
I write two — honest, jargon-free.
Winning Late — it's not too late, just a different clock
AI for the Rest of Us — learning AI as a non-coder, no PhD required
