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Michel H. ingénieur machine- & deep-learningMH

Michel H.

ingénieur machine- & deep-learning
1 recommendation
  • Suggested rate
    €500 / day
  • Experience8-15 years
  • Response rate100%
  • Response time1 hour
The project will begin once you accept Michel's quote.
Location and workplace preferences
Location
Toulouse, France
Can work on-site at your office in
  • and around Toulouse (up to 50km)
  • and around Toulouse (up to 30km)
  • and around Paris (up to 10km)
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Reputation
9Followers
15Repos
0Gists
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Skill set
Michel in a few words
Ingénieur et Économiste polyvalent, spécialisé en Machine Learning avec 8 ans d'expérience.
La prise d'initiatives et le pragmatisme sont dans ma nature.
Pour aider votre entreprise à extraire de la valeur de vos données, je combine 3 compétences :
  • Une bonne maîtrise des mathématiques et statistiques, ainsi qu'une connaissance mise - jour de la littérature en Deep Learning
  • Le respect des bonnes pratiques du génie logiciel : style de code, tests, DevOps et méthodologie agile
  • Un bon sens des affaires combiné avec une communication claire

Experience
  • Adevinta France
    Ingénieur Machine Learning
    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 & 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
    Team Lead en Machine Leanring
    E-COMMERCE
    January 2017 - June 2019 (2 years and 5 months)
    Le Cap, South Africa
    • Gestion d’une équipe de 4 ingénieurs chez le plus grand cybermarchand sud-africain
    • Implémentation d'un correcteur d'orthographe et d'un catégoriseur de produits basés sur des réseaux de neurones récurrents en TensorFlow
    • Construction d’un modèle de recommandations personnalisés en Spark, augmentant la conversion de 130% • Améliorations apportées à l'algorithme de recherche de produits, augmentant la conversion de 40%
    • Migration du système de recherche et de recommandations sur Kubernetes; puis dans Google-Cloud
    • Mise en place d'un processus favorisant l'innovation en ML, aboutissant à la mise en production de 13 projets
    Python TensorFlow Apache Kafka Elasticsearch Spark Google cloud Kubernetes SQL Docker
1 recommendation
PR

Pieter Rautenbach recommend Michel

Pieter RautenbachPR
Pieter Rautenbach
takealot.com
1/22/2020
During one's career, you come across some remarkable people. Michel is one of them during my 15-year career. He impressed us right from the first interview until his last day.

Michel's done a superb job at Takealot: He had a direct bearing on categorically improving our search, recommender and event tracking systems. He's not afraid to tread outside of his domain to fix and improve things.

He saw the opportunity to apply for the team lead position as a member of the team when he realised the struggle during recruitment because of the unique combination of skills we were looking for. Not only did he master the role, but improved the team in several ways by ensuring the team delivered quality work, on time, presented well at sprint reviews, while also creating new opportunities with our incubation days.

Besides being smart and innovative, the trait I value most is his pragmatism. This strikes just the right balance between themodellingng aspect of ML and building high-performance ML systems for our platform. He understands ML in depth, it's applications, and is a solid software engineer. He can explain various and difficult concepts well.

But, leading by example, he also doesn't try to do everything himself and successfully managed several projects and his team to get the best out of them. Michel is a pleasant, thoughtful and kind person. Albeit a young team lead, he had the necessary charisma and ambition to learn (and a fast learner he is). He did a good job mentoring his team members, performing regular one-on-ones and handling their performance reviews. He had his team's back (when needed) and they had his. He communicates clearly and had good relationships with everyone outside of his team, in particular, the product managers.

I would work with Michel any day again.
Education
  • Licence en Sciences de l'Ingénieur
    École Polytechnique de Bruxelles
    2011
    Université Libre de Bruxelles Mineur en Physique Appliquée
  • Licence en Sciences de Gestion
    Solvay Business School
    2010
    Université Libre de Bruxelles
  • Master en Sciences Économiques
    Solvay Business School
    2012
    Université Libre de Bruxelles Majeur: Marchés & Services financiers Mineur: Régulation & Économie Européenne PFE: “L’impact du tissu social sur l’adoption de l’argent mobile pour les personnes non-bancarisées - Une approche data-mining”
  • Master en Ingénieur Informaticien, Intelligence Artificielle
    École Polytechnique de Bruxelles
    2013
    Université Libre de Bruxelles PFE: “Mesures d’intelligence collective” Erasmus d’un an à l’Université Polytechnique de Valence, Espagne