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Pascal SzacherskiPS

Pascal Szacherski

Développement d'algorithmes de fusion de données

€440/day
Cublize, FR
8-15 years

Average response time: 1 hour

About Pascal

I am open to work as a remote freelance algorithm engineer at a ~50% rate.

I have an applied mathematics and signal processing background from my bachelor and masters studies, received my Ph.D. for reconstructing proteomic profiles, expressing and resolving inverse problems for protein quantification (including internal and external calibration), distribution learning and sample classification, resolved by the use of Full Bayesian statistics. My professional experience include sensor data fusion for inertial measurement units for real time applications such as gesture recognition for remotes and phones, actimetry and context awareness. Furthermore, with ZF my mission lied within environment perception for efficient using sensor data fusion and safe advanced driver assistant systems, and in particular the development of automatic emergency braking systems for vulnerable road users, for both passenger cars and commercial vehicles. I have been responsible for leading two international projects for my team, including work package tracking and delivery preparation, direct contact to suppliers and the client.

In my personal life, I am contributing to renovating a former castle in France, Château de Magny in Cublize: where I enjoy particularly baking sourdough bread and seeing the smiles on my friends' faces.
  • French

    Native or bilingual

  • German

    Native or bilingual

  • English

    Fluent

  • Spanish

    Basic

Can work on-site
Cublize (up to 15km), Roanne (up to 10km)

Experience

  • Laserzentrum Ennepetal GmbH
    Ophthalmic pre-operative data interpretation
    MEDICAL
    January 2021 - Today (5 years and 5 months)
    Data modelling Signal processing
  • ZF Group
    Sr. Sensor Data Fusion Algorithm Engineer
    AUTOMOBILE
    February 2015 - March 2019 (4 years and 1 month)
    Koblenz Area, Germany
    Software Team Project Lead for Sensor Data Fusion in ZF's major ADAS passenger car and truck projects (Europe, Asia) - organisation, planning, timing, tracking of work packages - preparation of software deliveries and test deliveries - development of EuroNCAP compliant embedded Automatic Emergency Braking software, respecting MISRA/QA-C, ISO26262 - tracking of objects using multiple sensor input, - selection of critical objects via threat assessment in mass production projects
    C Tracking Signal processing Software development traitement du signal Systèmes embarqués Systèmes critiques ISO 26262
  • InvenSense Inc. (Movea SA)
    Software Engineer (Sr)
    NANO-TECHNOLOGY
    January 2013 - February 2015 (2 years and 1 month)
    Developing algorithms for Sensor Data Fusion of Inertial Measurement Unit data for various end-user real-time applications on smartphones, wearables, remotes like actimetry, context awareness, gesture recognition.
    Data Fusion Data modelling Sensors Inertial Measurement Units C

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Education

  • Master of Science
    Université Bordeaux I
    2009
    Head of Promotion
  • Vordiplom
    Universität Dortmund / University of Dortmund
    2007

Skill set (48)

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