About Pavel Anni
I’m a Technical Training Architect who transforms complex distributed systems into learnable experiences. Currently at MinIO, I design training programs for enterprise object storage and AI infrastructure.
What I Do
I build technical education that scales—from Kubernetes training programs delivered across 30+ countries to hands-on labs that teach distributed systems. My approach combines deep technical expertise with pedagogical design, creating learning experiences that stick.
Current focus: Go, Python, AI/LLM integration, Kubernetes, cloud-native systems, and Model Context Protocol (MCP) development.
Recent Highlights
- Built a production MCP server for MinIO with 60+ functions and OAuth 2.1 authentication—enabling natural language interaction with object storage systems
- Designed comprehensive training programs for distributed storage solutions serving enterprise customers globally
- Delivered 35+ Kubernetes training sessions at SambaNova Systems while founding their technical documentation portal from zero
- Author of “A Pythonic Adventure” (Manning Publications)—a hands-on guide to Python programming
Background
Over 35 years in tech, I’ve trained thousands of engineers globally on technologies from Sun Microsystems infrastructure to Red Hat’s OpenShift. I’ve been part of legendary teams (Sun Microsystems during its peak) and helped startups build their technical foundations (SambaNova Systems, MinIO).
Education: Master’s in Solid State Physics from Moscow Engineering Physics Institute Certifications: AWS Solutions Architect & Developer, Red Hat OpenShift, MinIO Accredited Field Architect
Beyond Work
I tinker with IoT projects (check out my GeekHouse automation system), explore AI-assisted development, and enjoy the intersection of hardware and software. When not coding, you might find me experimenting with amateur radio or building something with microcontrollers.
Let’s Connect
- Portfolio: Explore my projects and blog posts
- LinkedIn: linkedin.com/in/pavelanni
- Email: [email protected]
Always interested in discussing distributed systems, AI integration, technical education, or the next big challenge in cloud-native computing.