Kinnary Jangla's guest appearances

Kinnary Jangla

Machine Learning Archives - Software Engineering Daily

Software Daily

Zach Allen

Jeff Johnson

Simon Chan

Dario Amodei

Lukas Biewald

Kelley Rivoire

Mike Tung

Alexandr Wang

Tim Williamson

Andrew Mason

George Hotz

Xin Wang

Mike Lee

Adam Gibson

Charlie Gerard

OwlTail

Pinterest is a visual feed of ideas, products, clothing, and recipes. Millions of users browse Pinterest to find images and text that are tailored to their interests.  Like most companies, Pinterest started with a large monolithic application that served all requests. As Pinterest’s engineering resources expanded, some of the architecture was broken up into microservices and Dockerized, which make the system easier to reason about.  To serve users with better feeds, Pinterest built a machine learning pipeline using Kafka, Spark, and Presto. User events are generated from the frontend, logged onto Kafka, and aggregated to build machine learning models. These models are deployed into Docker containers much like the production microservices. Kinnary Jangla is a senior software engineer at Pinterest, and she joins the show to talk about her experiences at the company–breaking up the monolith, architecting a machine learning pipeline, and deploying those models into production. The post Machine Learning Deployments with Kinnary Jangla appeared first on Software Engineering Daily.

Pinterest is a visual feed of ideas, products, clothing, and recipes. Millions of users browse Pinterest to find images and text that are tailored to their interests. Like most companies, Pinterest started with a large monolithic application that served all requests. As Pinterest’s engineering resources expanded, some of the architecture was broken up into microservices and Dockerized, which make the system easier to reason about. To serve users with better feeds, Pinterest built a machine learning pipeline using Kafka, Spark, and Presto. User events are generated from the frontend, logged onto Kafka, and aggregated to build machine learning models. These models are deployed into Docker containers much like the production microservices. Kinnary Jangla is a senior software engineer at Pinterest, and she joins the show to talk about her experiences at the company–breaking up the monolith, architecting a machine learning pipeline, and deploying those models into production. The post <a href="https://softwareengineeringdaily.com/2018/02/14/machine-learning-deployments-with-kinnary-jangla/" rel="nofollow" target="_blank">Machine Learning Deployments with Kinnary Jangla</a> appeared first on <a href="https://softwareengineeringdaily.com" rel="nofollow" target="_blank">Software Engineering Daily</a>.

Machine Learning Deployments with Kinnary Jangla