Vincent Pelletier

Bis 2023, R&D Engineer in Image Processing, Prip - TU Wien
Poitiers, Frankreich

Fähigkeiten und Kenntnisse

Softwareentwicklung
C++
C
Object Oriented Programming
Qt
Ocaml
C#.NET
Blazor
Projektmanagement
Kommunikationsfähigkeit
Teamfähigkeit
Microsoft Visual Studio
Microsoft Visual Studio Code

Werdegang

Berufserfahrung von Vincent Pelletier

  • 5 Monate, Apr. 2024 - Aug. 2024

    R&D Engineer in Neural Modeling

    University of Florence

    - Worked closely with a multidisciplinary research team. - Analysed and synthesised complex scientific documentation. - Managed deadlines and deliverables in a research environment. Achievements: - Implemented neural models in Python and C++. - Developed auto-associative memory networks. - Wrote detailed reports and facilitated knowledge transfer within the team.

  • 3 Monate, Juni 2023 - Aug. 2023

    R&D Engineer in Image Processing

    Prip - TU Wien

    - Managed an image processing research project. - Regularly communicated project progress to stakeholders. Achievements: - Developed interactive visualisation tools for the study of generalized conics. - Investigated their geometric properties, in particular using Python (NumPy, SymPy). - Wrote scientific and technical reports in English.

  • 3 Monate, Mai 2022 - Juli 2022

    R&D Engineer in Robotics and Virtual Reality

    Serli

    - Led a robotics project in a VR environment. - Conducted needs analysis and proposed technical solutions. Achievements: - Designed a virtual reality robot control system using C++, C# and Python. Worked with Raspberry Pi and Arduino boards. - Development of a real-time video streaming system with compression. - Designed and 3D printed custom hardware components.

Ausbildung von Vincent Pelletier

  • 5 Jahre und 1 Monat, Sep. 2019 - Sep. 2024

    Computer Science

    University of Poitiers

    Specialized training in designing, developing, and validating complex software, with a focus on object-oriented methodologies. Demonstrated ability to manage R&D projects, collaborate within multidisciplinary teams, and leverage scientific and technical resources.

Sprachen

  • Französisch

    Muttersprache

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

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