Mechanical Engineering Student | Passionate about Robotics, AI, and Music
Download PDF VersionSince a young age, I have always been passionate about science and learning. This innate curiosity naturally led me to study engineering, with the desire to contribute to a better world through my skills and creativity.
Currently a mechanical engineering student at EPFL, I have discovered a particular interest in robotics. This promising field offers numerous application possibilities in various sectors, such as ecology, medicine, and industry. Robotics has the potential to provide innovative and effective solutions to concrete problems.
Beyond its applications, robotics appeals to me because of its multidisciplinary nature. It allows for the combination of different exciting fields, such as neuroscience, artificial intelligence, and even aerospace. It is a domain that offers a wide range of opportunities for a curious mind.
What truly motivates me is the prospect of realising my own projects. With the knowledge and skills I am acquiring, I aim to bring my ideas to life, independently or in collaboration. It is a stimulating and rewarding challenge to complete a project from A to Z.
Alongside my technical skills, I have developed strong project management and team leadership abilities. Through various academic and personal projects, I have demonstrated my capability to create clear and structured conceptual plans, efficiently coordinate team efforts, and maintain effective communication among members.
Outside of my studies, I am passionate about music. I have been playing the piano since the age of three and a half, primarily exploring the classical repertoire but also jazz. Music is a central element of my life.
Key coursework:
Orientation Mathematics (6h) and Sciences (7h)
Overall average: 80.4%
Notable results:
Overall average: 95%
Notable results:
Internship with François Wayenberg, CEO and founder of Ajinomatrix, a pioneering company in developing sensory measurement software using artificial intelligence.
Discovery of the company's activities, offering innovative solutions to interpret sensory taste and smell measurements using AI, in collaboration with consumers, tasting judge panels, and sensors such as electronic noses and mouths.
Musical accompaniment at various events and ceremonies.
Supervision and animation of activities for young people.
Development of leadership and team management skills.
Experience in high-end restaurant service.
Development of customer service skills and teamwork in a demanding environment.
Complete design of a mechanical forestry winch in CATIA, from 3D modelling to physical calculations. Skills developed: mechanical design, 3D modelling, force and stress analysis.
Creation of a scientific poster presenting a specific issue in the field of AI. Skills developed: information synthesis, scientific communication, popularisation.
Participation in the National Physics Olympiads, a competition highlighting knowledge and scientific thinking. Skills developed: solving complex physical problems, scientific reasoning, stress management.
Participation in the CanSat project, which involves designing, building, and launching a nanosatellite the size of a can. Skills developed: teamwork, project management, embedded systems design, data analysis.
Development of a game inspired by Candy Crush using the C programming language. Skills developed: programming in C, algorithm design, game logic management.
Creation of a personal video streaming platform, including website development, hosting, and database management. Skills developed: web development (HTML, CSS, JavaScript), database management, web hosting.
Creation of a dynamic showcase website serving as an online portfolio. Skills developed: web development (HTML, CSS, JavaScript), web design, hosting.
Development of a website dedicated to classical music, allowing for the publication of piece analyses without having to redo the site. Skills developed: web development, content writing, musical analysis, popularisation.
Development of a music recommendation system based on artificial intelligence. Skills developed: data processing, recommendation algorithms, machine learning.
Skills developed: programming in Python, file management, web data extraction, data manipulation.
Skills developed: programming in C, data management, algorithmic, user interfaces.