Summary
Adam Caviness is a Director of Data Science and Chief Architect with over two decades of polyglot engineering experience and 11 years in senior leadership roles, currently driving ML-enabled, cloud-native architectures at Danelec. He blends hands-on expertise across AWS/Azure/GCP, MLOps, and full-stack development with a track record of turning complex system design and buy/build trade-offs into precise roadmaps and measurable outcomes. A pragmatic mentor and coach, Adam has guided teams from principal engineers to data scientists while championing secure, cost-aware cloud practices and vendor negotiations. His technical breadth spans Go, Python, C#, Swift, TypeScript, Kubernetes, Terraform, ONNX and PyTorch, enabling rapid prototyping through to production-grade ML services. Based in Southern Pines, NC, he brings an uncommon mix of control-systems and ETL experience alongside modern GenAI and observability tooling, making him adept at bridging legacy operational constraints with cutting-edge ML deployments.
11 years of coding experience
22 years of employment as a software developer
Bachelor's, Computer Science, focus Graphic Design, Bachelor's, Computer Science, focus Graphic Design at Campbell University
English