Leo Klemet
Ai Engineer & Data Pipeline Developer @RediMinds, Inc
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WORK HISTORY
Ai Engineer & Data Pipeline Developer @RediMinds, Inc
DataPipe AI is a Kubernetes-native observability platform that automates monitoring, anomaly detection, and self-healing across distributed microservices. It connects metrics, tracing, and alerting into a single intelligent control loop—reducing manual ops toil and improving reliability through agentic automation.Technical Stack:Infrastructure: Kubernetes (GKE), Docker, Helm, Cloud-native deploymentsBackend: FastAPI (Python) with async event processing and Prometheus exportersObservability: Prometheus + Grafana + Alertmanager, custom metric collectors, anomaly detection jobsAutomation Layer: AI-driven Ops Agents for root-cause analysis and automated remediationData Pipeline: Redis streams for telemetry buffering, SQL/NoSQL storage for metrics persistenceDevOps & CI/CD: GitHub Actions, IaC templates, containerized smoke testsKey Capabilities: Unified observability with real-time anomaly detection🧠 Agentic remediation workflows (restart, scale, alert) Visual dashboards and burn-rate SLO monitoring Secure, container-isolated runtime with policy-based executionImpact: Streamlines cloud operations by automating detection, diagnosis, and recovery — transforming traditional DevOps into autonomous AIOps.
EDUCATION
George Mason University
Bachelor's degree
ABOUT LEO KLEMET
I\'m an AI/ML Engineer and Full‑Stack Developer with a BFA in Game Design and a passion…
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