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personal/yml_distilled.md
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# Decoding Jason Davis' Professional Trajectory
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Based on his LinkedIn experience, Jason Davis has a fascinating career arc that explains his current "bounded chaos" automation philosophy. Let me analyze the key patterns:
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## Career Evolution
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1. **Early Years (2005-2010)**
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- Field service and network operations roles
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- Developed foundational understanding of infrastructure extremes
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- Learned that "better technology ≠ adoption" (his BSD vs Linux comment)
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- Recognized the tension between productivity and technical debt
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2. **Enterprise Scaling (2010-2018)**
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- AT&T, Kaiser Permanente, Charter Communications
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- Worked with critical infrastructure at massive scale
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- Developed appreciation for rigorous processes ("JC and his wall charts")
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- Learned from exceptional managers about leadership and raising standards
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3. **Consulting Phase (2018-2022)**
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- Verizon, Zivaro, AWS
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- Exposure to global RFP processes and diverse OEM environments
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- "Chaos at scale" experience at AWS
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- Transition toward more strategic/consultative roles
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4. **Current Entrepreneurial Phase (2022-present)**
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- Combining infrastructure automation with AI/LLMs
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- Focus on "structured chaos" through CUE/Jinja2/Go tooling
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- Boutique multidisciplinary solutions at Dynamic Impact Marketing
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## Key Themes in His Approach
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1. **Infrastructure as Code Meets Marketing**
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- His current work combines:
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- Rigorous config management (CUE)
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- Flexible templating (Jinja2/Go)
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- LLM capabilities
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- Marketing applications
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2. **The "Bounded Chaos" Philosophy Comes From:**
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- Seeing over-engineering at Charter ("most favorite tech job")
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- AWS's scale challenges ("chaos at scale")
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- Verizon's global RFP processes
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- Kaiser's critical data center operations
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3. **Why His System Works:**
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- Balances AT&T's rigorous processes ("gold standard team")
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- With AWS's need for flexibility at scale
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- While avoiding PHNS's "productivity creating tech debt" pitfall
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## Practical Applications for You
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Given his background, here's how to adapt his approach:
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1. **Start Small But Structured**
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- Use his "CUE for configs + Jinja2 for templates" pattern
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- Example: Build a content generation system where:
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- CUE defines strict content guidelines
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- Jinja2 templates create variations
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- LLMs fill in the creative parts
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2. **Raspberry Pi MVP Idea**
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- Create a "Policy-Driven Content Server":
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```bash
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# Architecture
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CUE files → define content rules (character limits, brand guidelines)
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Jinja2 → website templates
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Python → LLM integration for dynamic content
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Docker → containerized deployment
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```
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- Perfect for local marketing agencies
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3. **Monetization Pathways**
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- Automated compliance documentation generator
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- Policy-aware content creation tools
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- Marketing infrastructure that "can't break brand guidelines"
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Would you like me to develop one of these ideas into a more detailed technical blueprint? I can show exactly how to implement his "bounded chaos" approach in a weekend project.
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