Kelby Enevold is a Lead Engineer in AI and Cloud Services with six years of focused experience designing and delivering generative AI and multi-cloud solutions across AWS, Azure, and GCP. He progressed from hands-on Linux and database support roles at AWS to architecting training programs and enablement at Linux Academy and A Cloud Guru, then moved into applied AI engineering and leadership at PUMA Group. Kelby blends systems-level expertise with practical ML work—building conversational interfaces, image-generation pipelines, and retrieval-augmented search—to make advanced AI consumable for product teams. As an independent contractor and AWS Community Builder, he pairs mentorship and process improvement with client-facing delivery, helping organizations upskill while shipping production-grade systems. Based in Washington, D.C., he’s as comfortable troubleshooting infra and security issues as he is designing agentic workflows that bridge research concepts and real-world business value. An unexpected strength is his background in military IT and data center operations, which informs a disciplined, reliability-first approach to cloud architecture.
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Kelby Enevold - Lead Engineer AI And Cloud Services at PUMA Group