Eric H is a Senior Platform Engineer based in Montreal with a decade of experience building cloud-native ML and data platforms that bridge ML engineering, MLOps, and DevOps. He has led end-to-end ML delivery—designing scalable pipelines, production model deployment and monitoring, and accelerating deployment cadence for clients—while operating Kubernetes and cloud infrastructure across Azure, GCP and AWS. His background includes hands-on HPC and DGX work, Vault and EKS/GKE provisioning, and contributions to kube-prometheus ingress and alerting configurations that improved observability for Kubernetes workloads. Comfortable both advising stakeholders and shipping tooling, he has a track record of turning research and R&D into repeatable production practices and training teams to adopt MLOps patterns.
10 years of coding experience
4 years of employment as a software developer
Master's degree Computer Science and Data Mining, Master's degree Computer Science and Data Mining at Université Lumière Lyon 2
Use Prometheus to monitor Kubernetes and applications running on Kubernetes
Role in this project:
DevOps Engineer
Contributions:2 reviews, 12 commits, 2 PRs in 1 year
Contributions summary:Eric's contributions primarily focused on configuring and modifying Kubernetes Ingress resources and integrating external configurations within the kube-prometheus project. They also addressed merging changes and updating dependencies. Their work involved modifying JSONnet files to define ingress rules, adjust configuration for external services like Grafana and Alertmanager, and integrate basic authentication. The user's changes support the project's overall monitoring and alerting capabilities on Kubernetes.
Contributions:3 reviews, 54 commits, 6 PRs in 8 months
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