~/talks

Ketan Umare

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titleconferencedate
The Laws of ML at ScaleAI @Scale 20222022-09-28
Three concrete laws: scaling triggers a vicious cycle where ad hoc infra requests (Spark, GPUs) balloon cost and never finish; early trade-offs compound into…
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Making Data Quality an integral part of developing Machine Learning and Data ProductsData @Scale Spring 20222022-05-18
Describes a concrete pipeline for California housing: a type-safe orchestration platform that wires typed Python tasks into reproducible workflows, plus a…
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Efficient Data Parallel Distributed Training with Flyte, Spark & HorovodOpen Source Summit + Embedded Linux Conference + OSPOCon 20212021-09-27
Flyte orchestrates Spark or an MPI operator to run Horovod ring allreduce across ephemeral Kubernetes clusters, using the Spark operator to spawn…
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Self-serve Feature Engineering Platform Using Flyte and FeastOpen Source Summit + Embedded Linux Conference + OSPOCon 20212021-09-27
Shows an end-to-end integration that uses Flyte workflows to run feature transforms and Feast as the feature registry and serving layer, demonstrating training…
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Building and Growing an Open Source Community for an Incubating ProjectOpen Source Summit + Embedded Linux Conference + OSPOCon 20212021-09-27
A Kubernetes‑based workflow automation platform called Flight targets reproducible, replayable serverless orchestration and originates from Lyft (2016) and…
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Future of Data Platforms: making use-case driven...Global Artificial Intelligence Conference 20202020-10-20
Lyft runs an open source platform (Flyte) that treats ML as a superset of data, offering serverless orchestration across Kubernetes clusters, Java/Python SDKs…
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Flyte: Cloud Native Machine Learning & Data Processing PlatformKubeCon + CloudNativeCon North America 20192019-11-18
Flyte is Kubernetes native, runs as Lyft’s orchestration fabric for ML and ETL, and executes 10M+ containers per month across ~3500 workflows. It provides a…
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