Recent graduate in Electrical and Electronic Engineering from Imperial College London.
Specialised in Data Science and Machine Learning research and applications.
Phone: +44 7541 400 147
22nd of August 1996 in Paris (22 years old)
65 Michael's street, W2 1QR London - Uk
171 rue de la Pompe, 75116 Paris - France
Graduate from a 4 years' Undergraduate degree at Imperial College London. Master of Engineering (Meng) in Electrical and Electronic Engineering.
At the moment I am on track for a first class degree based on my first two years results: 70% overall. The list of all modules I passed in my time at Imperial can be found here.
It is a very broad degree, it involves all different branches of electronics (circuits, analogue and digital communication, devices, robotics...) with hardware and software. The first two years try to tackle all these subjects. The third year gets more specialized with the opportunity of chosing our modules. Each year the students, usualy in teams, need to particpate to a project with more or less guidelines. The course is a mix of academic lectures and examinations and more practical experiments during electronic and computing laboratories.
Middle school and High school in "Institut de la Tour" in Paris (7 years).
French Baccalaureate, Scientific Major with further Maths.
Overall result: 18.3/20 - "Mention très bien" honour.
End of High School project: Vision and Stereoscopy: 3D and new technologies
I'm currently doing an undegraduate research program in the High-energy physics group at Imperial College London. This is a longterm and ongoing project about developing a low-power data acquisition electronics for radiation detection. The electronics is designed to be used for neutron detectors and gamma spectrometers in radiation safety and nuclear security applications. The electronic part of the system uses a small FPGA for buffering the data from ADCs before transferring selected waveform snapshots to an Atmel cortex-M7 microcontroller as we can see below:
I am profoundly impressed by what the Team has done, both in terms of execution of the project and the final product. I'm grateful to have worked with this Imperial team.
IBM supervisor about Case project
IBM tasked a team of 8 imperial students with designing an artificially intelligent exoskeleton to fit around a De’Longhi Magnifica coffee machine.The idea was to allow the user complete control over the machine without any direct physical interaction using features such as voice commands and facial recognition. In order to satisfy IBM's criteria we had two months to come up with idea and build the product. To do this we were provided with a Raspberry Pi, an Arduino development board and a Logitech ConferenceCam in addition to our £500 budget.
The 2nd Year project undergone in EEE is an open project where students (maximum 3) propose an idea and only 20 of them are selected over 80 propositions. The smart thermostat idea was submitted by two other students and myself. When our project was accepted four students decided to join us, making it a team of 7 people. The main idea was to add more costs transparency and energy saving functionalities to a regular thermostat. This project gave us a better insight on the world of IoT devices.
The goal was to design a line following robot within a team of 6 first year students and then each student had to built his own robot. The robot had to follow a random curved black line on a white background, then continue 20cm after its end and spiral until it stops. The design has to be chosen either digital or analogue. We decided to use a microcontroller to have a better control over the movements of the robot. Since this was the first project of our studies, we learned a lot on breadboard circuitry, sensor integration and microcontroller firmware.