Sherin Thomas
where else to find them
what they talk about
where they keep going back
- Scale By the Bay2 editions2018–2023
all 5 in the filters
on a stage with
who talks about the same things
- Stephanie Kim3 talks
- Michael Suo6 talks
- Soumith Chintala13 talks
- Dat Tran9 talks
- Tarry Singh7 talks
- Barbara Fusinska10 talks
| title | conference | date |
|---|---|---|
| Recipe for Building a Discoverable and Governed Data Platform. | Scale By the Bay 2023 | 2023-11-13 |
Claims a working recipe: uses DataHub to catalog Snowflake, Looker, Terraform, Airflow, Kinesis and custom configs, and builds column-level lineage that… | ||
| Democratizing Climate Science | Berlin Buzzwords 2021 | 2021-06-15 |
SpaceML builds a production reverse‑image search over NASA GIBS covering 20+ years and petabytes of imagery, using a GIBS downloader to tile multi‑band data… | ||
| Enabling Machine Learning with Apache Flink | Flink Forward Europe 2019 | 2019-10-07 |
In the world of ride sharing, many decisions such as matching a passenger to the nearest driver, need to be made in realtime. As a result, building and… | ||
| Taking deep learning to production with RedisAI | The Fifth Elephant 2019 | 2019-07-25 |
RedisAI is a Redis module that adds tensors & graphs as Redis data types and executes models on CPU and GPU using PyTorch TensorFlow ONNXRuntime backends while… | ||
| Stream Processing at Lyft with Flink and Beam | Scale By The Bay 2018 | 2018-11-15 |
Lyft runs real-time pipelines using Apache Flink as the runner and is adopting Apache Beam for Python portability, operating 50+ Flink jobs processing tens of… | ||
| PyTorch Demystified, Why Did I Switch | Anthill Inside 2017 | 2017-07-29 |
PyTorch claims practical wins from a Dynamic Computation Graph (autograd/Variable, .grad access, .cuda and NumPy bridges) and demonstrates them with an actual… | ||
| nothing matches | ||