Saurabh Garg
where else to find them
no profile links on file
what they talk about
where they keep going back
no series more than once — all 4 in the filters
on a stage with
- Dolis Sharmaonce
who talks about the same things
- Shrinand Javadekar4 talks
- Savin Goyal5 talks
- Tim Collins7 talks
- Ville Tuulos4 talks
- Ekansh Gupta15 talks
- Maciej Mazur4 talks
| title | conference | date |
|---|---|---|
| Policy-based Compute Orchestration for AI/ML Workloads | KyvernoCon NA 2025 | 2025-11-10 |
Shows a working pattern that glues Metaflow job submission to policy-driven placement with Kyverno + Metaflow, using an external configmap-driven routing… | ||
| Optimizing AI/ML Workloads | PyData Seattle 2025 | 2025-11-07 |
Claims a concrete, deployed system: Metaflow for transparent usage reporting and cost attribution that instruments Kubernetes/Argo runs, captures node labels… | ||
| Navigating Cloud Expenses in Data & AI: Strategies for Scientists and Engineers | PyData Global 2024 | 2024-12-03 |
Shows how Metaflow and the Out‑of‑bounds managed platform attach costs to individual flows, report resource use per step, and let teams right‑size requests to… | ||
| Breaking the 1.5MB Barrier: Running Large Metaflow Flows with Argo for AI/ML Workloa... | ArgoCon NA 2024 | 2024-11-12 |
Metaflow flows convert to Argo workflows on EKS but hit the etcd 1.5MB limit when node status grows, causing runtime "request entity too large" failures after… | ||
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