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Riccardo Bernardi
Senior Infrastructure Engineer specializing in cloud, Kubernetes, and MLOps
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About
LLMOps-focused technical leader who took an LLM use case from prototype to production for a non-technical customer by combining trust-building and structured enablement with a robust AWS/Kubernetes-based MLOps stack. Built observability and rollback mechanisms (Grafana + MLflow) to troubleshoot in real time, and scaled delivery by hiring a 5-person team while partnering with sales to manage expectations and drive adoption across departments.
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Key Strengths
- Took LLM prototype to production for a non-technical customer using a structured enablement approach
- Designed and operated an end-to-end LLMOps stack (AWS + K8s + Grafana + Prefect + MLflow + BentoML + CI/CD + API Gateway)
- Real-time issue diagnosis via observability and safe rollback/model re-promotion using MLflow
- Strong customer management: decomposed work into small wins, managed frustration, and built trust
- Program/project execution discipline using Jira plus Gantt and burndown tracking to hit timelines
- Scaled delivery by hiring and ramping a team of 5 to support the initiative
- Tailors technical demos/workshops to audience context (legacy vs cloud-native developer audiences)
- Partners effectively with sales to manage expectations and drive adoption
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