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7.7
@Ljdeangelis
AI-Driven Technical Architect | Digital Strategist | Early Adopter & Workflow Integrator
AI Fluency Score
7.7/10
Assessed 12/4/2025
Velocity
Lee DeAngelis is a seasoned Technical Architect and entrepreneur recognized for his sophisticated integration of artificial intelligence across both enterprise and creative domains. An early adopter since the 2022 launch of ChatGPT, Lee strategically leverages tools such as ChatGPT, Gemini, Copilot, Grok, and Sora, along with platform-based AI in Slack, Box, and Atlassian, selecting models based on task type and validating outputs through cross-comparison.
Professionally, Lee leads SaaS modernization and cloud migration projects at Ellucian, transforming higher education through AI-enabled systems and automation. In parallel, he applies AI to digital marketing and media production through his ventures Kapeesh Enterprises and Access Aerial, where generative tools are embedded into creative workflows for scalable impact.
Lee’s AI evolution reflects a deliberate shift from tactical use to comprehensive workflow integration. He demonstrates critical awareness of model limitations — including hallucinations, context retention, and image text rendering — and applies advanced prompt engineering and context management techniques to optimize reliability.
Viewed as both a strategist and practitioner, Lee represents the next generation of AI-enabled professionals who use artificial intelligence not as a shortcut, but as a force multiplier for creativity, efficiency, and informed decision-making.
Generated 12/4/2025
Lee DeAngelis is a technical architect with three years of hands-on AI integration experience across enterprise and entrepreneurial contexts. He builds sophisticated multi-tool workflows—chaining Slack AI, ChatGPT, and Copilot into documented systems that compress hours of weekly work and transfer cleanly to teammates. His verification methodology is particularly sharp: cross-model validation, domain expertise as a filter, and testing environments before production deployment.
These aren't isolated skills—they're the foundation of someone who can lead AI adoption at scale. Lee understands how to make AI work reliably in complex environments, and he's already proving it by teaching others to do the same. His dual context—corporate architecture and entrepreneurial building—suggests someone whose next chapter involves shaping how entire teams work.