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Alexandre V.AV

Alexandre V.

AI, Fullstack, Python

€750/day
Strasbourg, FR
8-15 years

Average response time: 1 hour

About Alexandre

Diplômé en mathématiques de l’École Polytechnique de Zurich (ETH) et passionné de nouvelles technologies, je me spécialise depuis plusieurs années à l’intersection du Deep Learning et du développement logiciel.

Avec plus de 8 ans d’expérience en vision par ordinateur et intelligence artificielle, j’ai été tech lead chez Autobrains AI, une start-up ayant levé 100M$ en 2021, où j’ai dirigé le développement de systèmes embarqués de perception pour véhicules autonomes. J’ai également conçu un système de détection de drones low-cost sur puces Hailo.

En parallèle, j’ai mené de nombreux projets full-stack en production, et cofondé Plurally, un framework permettant de créer des automatisations spécialisées dans la saisie de données dans les logiciels métiers.
  • French

    Native or bilingual

  • English

    Native or bilingual

  • Hebrew

    Fluent

  • German

    Basic

Can work on-site
Strasbourg (up to 50km), Paris (up to 50km), Lyon (up to 20km)

Experience

  • Fintica AI
    Senior AI Engineer
    TECH
    October 2021 - Today (4 years and 8 months)
    Tel Aviv-Jaffa, Israel
    Python Java Machine learning intelligence artificielle Neural Networks
  • AutoBrains Technologies
    Tech Lead
    TECH
    January 2019 - April 2021 (2 years and 3 months)
    Tel-Aviv, Israel
    Leading researchers & software engineers to push the technology forward in the automotive industry.

    Detailed achievements:
    - Responsible to deliver an in car demo presented in CES 2020 to many Tier 1 OEMs and car companies.

    - Leading a team of 4 researchers to improve the objects detection/localization for embedded systems. This led to 30% lighter models while keeping quality/performance and providing more flexibility than vanilly CNNs.

    - Implementing a complete CNN training infrastructure in MxNet.

    - Training various networks for 2D/3D objects & lanes detection.

    - Delivering an automatic emergency braking (AEB) module, including object
    tracking and real world distance estimation.

    - Developing a proprietary lightweight 3D orientation estimation algorithm.

    [References available upon request]
    Python C++ Machine learning Deep Learning intelligence artificielle Pytorch TensorFlow MxNet Scikit-learn
  • Cortica
    Algorithm Developer
    TECH
    July 2017 - January 2019 (1 year and 6 months)
    Tel-Aviv, Israel
    - Participating in the build up of a new product based on the successful development of proprietary ML algorithms. This led to the creation of SeeTrue AI, a security screening company successfully deployed in production in different airports. This included developing the technology and establishing the necessary benchmarks for application to security imaging (CT-scan/X-Ray).

    - Implementing proprietary one shot online learning as well as temporal prediction for aerial imagery applications. Multiple successful demos were made, e.g. in Pepcom 2018 in NYC.

    [References available upon request]
    python C++ Machine learning Deep Learning Pytorch mxnet darknet tensorflow flask

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Education

  • Master Mathématiques Appliquées
    ETHZ
    2015
  • Bachelor Mathématiques
    EPFL
    2012

Skill set

Categories