AI Engineer
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Applied AI engineer building decision systems that are safe to deploy: grounded and guardrailed reasoning, explicit human-escalation paths, full-trace observability, and benchmarking from cloud Kubernetes down to 4-bit edge inference. Recent work spans SOC alert triage, access-control compliance auditing, RAG evaluation methodology, and efficiency-constrained model selection.
