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Slim Frikha

Research scientist - AI - Machine Learning - Deep Learning [Deep Tech]

Slim Frikha is a Senior Applied Machine Learning Engineer at Contentsquare, specializing in website and page semantic understanding and content extraction.12 He has expertise in deep learning, particularly in developing innovative models for analyzing HTML documents and improving user experience on websites.12

Key points about Slim Frikha:

  1. Current role: Senior Data Scientist at Contentsquare2
  2. Focus areas: Machine learning, deep learning, and AI research3
  3. Expertise: Website semantic understanding, content extraction, and HTML document analysis12
  4. Notable work: Presented a deep learning model for DOM tree node classification to eliminate manual configuration in website contextualization1
  5. Background: Thrives in innovative environments and is committed to pushing the boundaries of AI technology3

Slim Frikha has been involved in significant projects at Contentsquare, including developing a deep learning model that can classify HTML DOM tree nodes and detect target zone types without manual configuration.1 This work aims to improve the efficiency of website analysis and user experience optimization.1

He has also contributed to reducing TensorFlow inference latency for Contentsquare's models using TensorFlow Serving on Amazon SageMaker, demonstrating his expertise in both model development and deployment optimization.2

Frikha's LinkedIn profile indicates that he is currently associated with the Technology Innovation Institute, suggesting a continued focus on cutting-edge AI research and development.34

Highlights

Sep 2 · youtube.com
S9E8, Web page Tree Node Classification with Deep ... - YouTube
S9E8, Web page Tree Node Classification with Deep ... - YouTube
May 25 · aws.amazon.com
How Contentsquare reduced TensorFlow inference latency ... - AWS
How Contentsquare reduced TensorFlow inference latency ... - AWS

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Slim Frikha
Slim Frikha, photo 1
Slim Frikha, photo 2
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Location

Greater Paris Metropolitan Region