Rob Weddell is an Artificial Intelligence Engineer with nine years of experience building production-grade backends, scalable data pipelines, and enterprise search solutions. At Accenture he has driven AI integrations and RAG pipelines—building a Python API on AWS (Bedrock + AgentCore in EKS) that reduced hallucinations, improved routing accuracy, and added robust failover and error-handling for agent executions. He has repeatedly improved system performance (e.g., 60% API latency reduction, 35% faster data retrieval) while mentoring junior engineers and automating tedious data prep like ontology extraction. Comfortable across cloud stacks and CI/CD tooling, Rob blends data engineering rigor with applied ML know-how to move models from experiment to reliable production services. His background in theater and academic research in image classification gives him an uncommon mix of communication skills and experimental curiosity that helps bridge technical teams and non‑technical stakeholders.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at DePaul University
Bachelor of Arts - BA, Theatre/Theater, Bachelor of Arts - BA, Theatre/Theater at Drury University
Example customer service chatbots of various complexities and implementations
Contributions:51 commits, 49 pushes, 1 branch in 1 month
chatbotimplementationschatbotscustomer-service
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