Mayank Bansal
where else to find them
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what they talk about
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where they keep going back
no series more than once — all 3 in the filters
on a stage with
- Albert Greenbergonce
- Amit Kumaronce
- Ashish Samantonce
all 24 in the filters
who talks about the same things
- Min Cai4 talks
- Rasik Pandey2 talks
- Neha Singla2 talks
- Lucy Sweet12 talks
- Akshay Chitneni4 talks
- Keith Laban3 talks
| title | conference | date |
|---|---|---|
| Uber's Failover Architecture: Reconciling Reliability and Efficiency in Hyperscale... | NSDI '26 | 2026-05-04 |
Claims a shift from uniform 2× regional provisioning to a differentiated model that cuts steady‑state from 2× to 1.3×, raises utilization from ~20% to ~30%… | ||
| Kubernetizing Big Data and ML Workloads at Uber | KubeCon + CloudNativeCon North America 2019 | 2019-11-18 |
Uber plans to move Hive/Spark workloads off YARN to Kubernetes to save millions by co‑locating BigData/ML and microservices, and re‑architects Peloton as… | ||
| Teaching a Car to Drive Itself by Imitation and Imagination | Google I/O 2019 | 2019-05-07 |
ChauffeurNet trains a convolutional RNN on a top‑down 80×80 m representation and 26 million examples to output waypoint trajectories; open‑loop metrics look… | ||
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