|
Dear reader, welcome!
My name is Ahmed Ahres and I am currently 23 years old. I am Tunisian as well as Dutch and was born/raised in Tunis, Tunisia. I was previously a Machine Learning Engineer at Revolut in London in the Computer Vision team for 2 years. Our goal was to build an in-house solution to on-board new customers. During my experience at Revolut, I've had the opportunity to build models and productionise features that are used by thousands of people every day. I started my Bachelor in Computer Science at the age of 16 years old and graduated from the Eindhoven University of Technology in August 2018. Prior to that, I graduated with the highest distinction from a French high school in Tunisia. During my Bachelor studies, I pursued a career in the Honors Academy in my 2nd and 3rd year of bachelor's, which is a special program destined to the passionate and top students of the university requiring extra work. In my track, called High Tech Systems, I was the leader of Cyclone, a team consisting of 12 students from diverse studies, building an autonomous racing drone. Apart from the leadership position, I was also responsible for the computer vision sub-team working on obstacle detection. At the end of the 2017/2018 academic year, Cyclone won the award for the best Honors project out of more than 25 other Honors projects. In September 2018, I moved to Lausanne, Switzerland to start a Computer Science Master's at EPFL (École Polytechnique Fédérale de Lausanne). I was invited to Stanford University (California) in March 2019 to present my data visualization project on pollination contribution to nutrition (available in the "My Projects" section) as part of the Natural Capital Project yearly Symposium. We were invited to present to the world our project detailing how the decrease of pollination contribution to nutrition in the future will have a massive impact on the world population. From February 2019 to July 2019, I was a teaching assistant in machine learning under the supervision of professor Pascal Fua. My task was to explain the basics of machine learning to undergraduate students by designing, assisting and correcting exercise sessions for approximately 50 students in the class. I dropped out from my MSc after one year to continue working at Revolut and continue shipping great features to customers worldwide. In February 2020, an online magazine interviewed me for my work at Revolut and my views on the future of facial recognition in the world. The article is available down in this page. I can fluently speak Arabic, English, French and have an intermediate level of Spanish. Moreover, I was a Tennis player for 15 years and was the Tunisian national champion in 2008 and 2010. I also read a lot of books and my favorite one is: How to Win Friends and Influence People written by Dale Carnegie. I currently read one book per week on average, mostly non-fiction as they are mind-expanding. I love making games, and have published one called Shapion on Android! Other than Shapion, I have developed 6 complete games either by myself or with a group of passionate people. They are available in the "My projects" section. I am proficient with Python, C++, Java and Javascript. I have also extensive knowledge of OpenCV as well as machine learning/data analytics libraries such as Pandas, Keras, Scikit-Learn & TensorFlow. I am deeply interested in the potential of immersive experiences to be at the heart of the next big changes in the world. I am a firm believer in the fact that dedication and solid time management are the keys for a more productive and pleasurable life. Some of my favorite quotes:
|
March 2019 - Taken at Stanford University, California for the natural capital project symposium where we presented our data visualization project.
February 2017 - Taken in San Francisco, California just before an Oculus event for exclusive VR titles
November 2016 - Taken in Helsinki, Finland at Junction hackathon where I worked on The Resurrection of Ctulhu project
June 2018 - Taken in Eindhoven, Netherlands for the Jury Award of the best Honors project in 2017/2018 with the Cyclone team.
|
Here are some useful links to things I have mentioned previously.