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Max BonnMB

Max Bonn

Machine Learning engineer / Data Scientist

€400/day
Zurich, CH
0-2 years

Average response time: 1 hour

About Max

Hi, I am Maxime, a Machine Learning engineer and data scientist always available to help design your Machine learning or data engineering pipeline. I worked for consulting and medical companies in the past and am always looking forward to new problems to solve.

If you want insights on the kind of tools to use for the creation of a Machine Learning pipeline, how to monitor data drift or what can be done with your current data, I would be delighted to get in touch with you.
  • French

    Native or bilingual

  • English

    Native or bilingual

  • German

    Conversational

Can work on-site
Zurich (up to 50km)

Experience

  • Oxford Instruments
    Machine Learning Engineer
    March 2022 - June 2022 (3 months)
    Zürich, Switzerland

    - Added support for additional file formats for geological data to be read from Imaris, the world's leading Microscopy Image Analysis = software.
    - Creation and Implementation of a new data gathering methodology for the Imaris platform to get more insights on the user's behaviour. Left the company due to a lack of fit between the task proposed and my skillset (not involving Machine learning and Data Science)
  • Visium
    Junior Machine Learning Engineer
    August 2021 - February 2022 (6 months)
    Lausanne, Switzerland

    - Created a NLP model to identify the preferred incentives of the Swiss political class toward some predetermined domains.
    - Creation of a web application for the study and automatic detection of false watches based on the analysis of their vibration's signature.
    - Development of orchestration pipelines via Airflow to setup Virtual machines and network environment (Terraform) / Slack channels / Github projects / Hour tracking of projects to fully monitor the resources and expenses involved in their development.
    - Designed and Implemented the sale and event tracking architecture of a legal company using AWS, Snowflake and DBT. The implementation aggregates the events generated by the platforms into sessions and users which lowered the costs of processing ( by a factor of 5) and produced significant insights for the analyst's team.
  • VITA laboratory
    Master Thesis
    September 2020 - February 2021 (5 months)
    Ecublens, Switzerland
    "Monocular 3D vehicle detection with self-attention mechanism" is the thesis that I had the opportunity to perform at the VITA laboratory for transportation. It enabled the detection and localization of vehicles and pedestrians through a monocular RGB camera. This project allowed the development of a new neural network backbone inspired by the Neural language processing field. Grade obtained : 5.75/6

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Education

  • Master's degree, Mechatronics, Robotics, and Automation Engineering
    EPFL (École polytechnique fédérale de Lausanne)
    2021
    Master's degree, Mechatronics, Robotics, and Automation Engineering
  • Bachelor's degree, Microtechnique
    École polytechnique Fédérale de Lausanne
    2018
    Bachelor's degree, Microtechnique

Skill set (10)

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