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Michel H.MH

Michel H.

Machine & Deep Learning Engineer

€500/day
Toulouse, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Michel

Versatile Engineer and Economist, specialized in Machine Learning with 8 years of experience.
Taking initiative and pragmatism are in my nature.
To help your company extract value from your data, I combine 3 skills:
  • A strong command of mathematics and statistics, as well as up-to-date knowledge of Deep Learning literature
  • Adherence to software engineering best practices: code style, testing, DevOps, and agile methodology
  • Good business sense combined with clear communication

  • Dutch

    Basic

  • English

    Native or bilingual

  • Spanish

    Conversational

  • French

    Native or bilingual

  • German

    Native or bilingual

Can work on-site
Toulouse (up to 50km), Toulouse (up to 30km), Paris (up to 10km)

Experience

  • Adevinta France
    Machine Learning Engineer
    E-COMMERCE
    February 2022 - August 2022 (7 months)
    Paris, France
    Fraud detection for classified ads at the parent company of “Leboncoin”
    Automatic classification and risk assessment of ads & messages using machine learning for several marketplaces.
    Argo CD TensorFlow Scikit-learn Python GitHub Kubernetes Amazon Web Services
  • KeenEye
    Machine Learning Engineer
    HEALTH AND WELLNESS
    February 2020 - August 2021 (1 year and 7 months)
    Paris, France
    At KeenEye I build a product used by our internal consultants to create computer vision applications on microscopic images.
    We use deep learning techniques such as object-detection, segmentation and classification to automate digital pathology tasks.
    The main challenge is that these images are very large: several GB each.
    opencv Gitlab Python TensorFlow keras
  • Takealot.com
    Machine Learning Team Lead
    E-COMMERCE
    January 2017 - June 2019 (2 years and 5 months)
    Le Cap, South Africa
    • Managed a team of 4 engineers at the largest South African online retailer
    • Implemented a spell checker and a product categorizer based on recurrent neural networks in TensorFlow
    • Built a personalized recommendation model in Spark, increasing conversion by 130%
    • Improved the product search algorithm, increasing conversion by 40%
    • Migrated the search and recommendation system to Kubernetes; then to Google-Cloud
    • Established a process fostering ML innovation, leading to the production of 13 projects
    Python TensorFlow Apache Kafka Elasticsearch Spark Google cloud Kubernetes SQL Docker

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Education

  • Bachelor of Science in Engineering
    École Polytechnique de Bruxelles
    2011
    Université Libre de Bruxelles Mineur en Physique Appliquée
  • Bachelor of Science in Management
    Solvay Business School
    2010
    Université Libre de Bruxelles

Skill set

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