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Tools to Put Deep Learning Models in Production
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| by Sahil Dua Follow 0 Followers on Jun 01, 2018 |

Sahil Dua discusses how supports data scientists by making it easy to put their models in production, and how they optimize their model prediction infrastructure for latency or throughput.

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Sahil Dua is a software developer at He has been involved in leveraging container infrastructure to help’s internal teams in taking advantage of deep learning techniques at scale. He is a core contributor for DuckDuckGo's open source organization, and the Git project, pandas - open source data analysis library, Linguist project by GitHub and Go-GitHub project by Google.

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

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