Eric Ijeoma

Detail-oriented Al Engineer with over 5 years of experience solving one of the most critical pain points in enterprise Al: slow, prohibitively costly
deployments that go live with no way to monitor, debug, or understand what the Al is actually doing in the real world. Without that visibility, teams have
no way to know why a deployment is stalling, silently failing their users in production or racking up cloud cost. The gap is closed by engineering the full
GenAl stack end-to-end: scalable multi-agent pipelines, RAG systems, containerised infrastructure, and real-time observability from day one. Passionate
about building autonomous Al agents that genuinely work at scale and leverage that drive to deliver measurable outcomes: cutting hallucination rates
by 40%, reducing inference costs by 60%, and achieving sub-500ms streaming response times in live production environments.