Presentation: Deep Learning from a SWE's Perspective

Track: Deep Learning in Practice

Location: Embarcadero

Duration: 11:40am - 12:20pm

Day of week: Tuesday

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Abstract

Presentation details will follow soon.

Speaker: Sravya Tirukkovalur

Senior Machine Learning Engineer @Adobe

Sravya is a Senior Machine Learning Engineer at Adobe working on the Sensei Content Framework team which powers ML capabilities across the Adobe product line enabling consistent and reusable building blocks with a high software engineering rigour across the board.

 

Before Adobe, she was a co-founder at ImpactAI.org, a non profit to focus on using the technological advancements in machine learning in high impact domains such as health where there is abundant data. Before that she worked on distributed systems at Cloudera and is a PMC on Apache Sentry.

Find Sravya Tirukkovalur at

2019 Tracks

  • Groking Timeseries & Sequential Data

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.