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Dev Student, I enjoy Algorithmic, Machine Learning, among others…

My background goes from biological studies (Vet, Equine Osteopathy, … , see “Story”) to self driving cars…

Musician, Horse rider, …

42 42-AI

Story

  • General Baccalauréat (Economics – Maths option), mention AB – 2005.
Bac
  • Scientific upgrade – PCS0 – Univ Paris-Sud 11 – 2006.
  • First year Veterinary Medecine – Univ Liège – 2007 – 2008.
  • Animal Osteopathy, Master Grade – European School of Animal Osteopathy, Montreux (CH), Brighton (UK), Lisieux (FR) – 2008 – 2013.
Horse

Independant Worker as Equine Osteopathy practitioner – 2011 – 2019.

‘OK Wait… How did you get there ?

I mean, from Horses ?… to Software development ?

Really ?’

‘Yup ! long story but, in short, I managed to build an Excel sheet to calculate Horses / Dogs food rations, witch I turned into a C# / .NET soft you can find here : Chevalim, Dogalim

Then, I began to learn Python, built a robot (PiRobot), learned Django Framework and stuff, and, finaly, applyed to “42’s Piscine” in sept 2017…

Successfully ! And here I am !’

  • 42 Student – Paris – 2017 – …
Code
  • IronCar Contestant –  Team Patate42 :
Patate

First IronCar edition winners !

more infos here : IronCarFrance

  • Internship @ Equisense (winter 2018 – spring 2019) :

R&D : Horses ECG to HeartRate algorithm (6 months) See “Blog” section to learn more about my past / current projects…
or visit my GitHub : GitHub EParisot

Download my PDF Resume : Curriculum

Blog

Chevalim: Horse’s ration calculator   chevalim.com Elaborated from the rationing sheet described in the book : ‘Alimentation du cheval’, Roger WOLTER as well as ‘Tables des apports alimentaires INRA 2011’ Chevalim will allow you to easily and precisely compare nutritious needs for your horse. The ration table is automatically filled according todata that you will have specified, …

SmarTri – Trash classification

SmarTri – Trash classification A pretty usefull application of the YOLO algorithm can be to localize and to classify grabages from pictures. Here we used YOLO to do so and built a full API (labeling / check tool) and an App (Android / iOS). We also built a connected litter prototype !