Suraj Muraleedharan
where else to find them
linkedin:surajmuraleedharan
what they talk about
all 4 in the filters
where they keep going back
no series more than once — all 4 in the filters
on a stage with
never shared a talk
who talks about the same things
- Neel Shah13 talks
- Rajalakshmi Srinivasan3 talks
- Shivanshu Raj Shrivastava11 talks
- Suman Chakraborty6 talks
- Arun Gupta72 talks
- Sameer Paradkar3 talks
| title | conference | date |
|---|---|---|
| Cross-Region Model Serving: PyTorch Inference, Observability... | PyTorch Conference Europe 2026 | 2026-04-07 |
Production-tested architecture for running PyTorch inference across three regions handling 10K+ RPS per region with a P99 time-to-first-token target of <200… | ||
| Improve explainability of ML models to meet regulatory requirements | Amazon re:MARS 2022 | 2022-06-21 |
Explains how Amazon SageMaker Clarify runs explainability and bias checks across the ML lifecycle, producing S3/PDF reports, CloudWatch metrics and alerts, and… | ||
| Improve observability for your container workloads | Conf42 Site Reliability Engineering 2021 | 2021-09-30 |
Shows how to stitch Kubernetes metrics, parsed logs and distributed traces into a consolidated service map and a single queryable events store, using existing… | ||
| Build ML environment for regulatory customers | Conf42 Machine Learning 2021 | 2021-07-29 |
Regulated customers (banking, healthcare, pharma) get a hardened ML platform using AWS Service Catalog and SageMaker Studio: service catalog products shared… | ||
| nothing matches | ||