Hi! I am a Machine Learning Engineer at Bird.i (subsidiary of Zonda), where we train and deploy deep learning models to track the different construction cycles in large residential projects using satellite images. I have graduated from Grenoble INP - ENSIMAG with a Master’s degree in computer science, speciallizing in computer vision and robotics. I am broadly interested in machine learning, especially when applied to computer vision.
In 2019, I interned at Uber ATG in San Francisco, where I worked as a software engineer at the intersection of machine learning and prediction for autonomous driving. In 2017, I spent the summer as an intern in the biorobotics lab at Carnegie Mellon University, where I worked with Professor Howie Choset on deep reinforcement learning for robot navigation, and multiagent area coverage.
MSc in Computer Science, 2020
Grenoble INP - ENSIMAG
BE in Mechanical Engineering, 2018
Lebanese University
Created a space themed scene using Opengl.
We have built a turtlebot-like robot from scratch (using an Arduino), which can navigate a predefined map autonomously, and also follow a person depending on the color of shirt he/she is wearing.
Reinforcement Learning for LiDAR-based Navigation, in simulation, in a maze.
Integrated hand gesture recognition on a hexapod robot using the Intel Euclid sensor.
Implemented the main os components and mechanisms on top of Nachos.
Integrated deep learning techniques for object detection and human posture recognition with Pepper robot.