Juan Carlos Escalante
Professor & Applied AI Lead — Shipping governed RAG assistants for remote campuses
Medellín, Colombia
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Juan Carlos Escalante is a professor and applied AI practitioner at Tecnológico de Antioquia (Colombia). He works on deploying LLM-based academic assistants for remote and distributed campuses, focusing on governed RAG architectures, policy guardrails (privacy, refusals, citations, human escalation), and evaluation/monitoring practices that keep systems reliable after launch. His current work combines implementation in real educational services with pragmatic LLMOps: regression tests, task-based eval sets, and incident playbooks for hallucinations and retrieval failures.
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Juan Carlos Escalante
Professor & Applied AI Lead — Shipping governed RAG assistants for remote campuses
Medellín, Colombia
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