Remote
Key accomplishments
After graduating with a degree in Electronic and Telecommunications Engineering, I worked for 3 years part time as a 2G and 3G radio engineer at Huawei Techologies. At the same time, I was involved in entrepreneurship, which allowed me to set up two startups in the field of health (www.karangue.com) and in agriculture (www.bayseddo.co). During this entrepreneurial period I had won a lot of prizes:
_ codecamp emerginov 2015
_ Orange developper challenge 2015
_ Acceleration at Nest’up (www.nestup.com)
_ vivatech prize Paris and travel partnership with Orange Silicon Valley
I have a bunch of experience working as a full stack machine learning engineer(from ETL, modeling until deployment) and have a bunch of experience in data science, solving industries problems using machine learning algorithms , deep learning, NLP (LSTM, transformers, attention, BERT), computer vision(CNN, object detection, object tracking, YOLOv3, detectron2&3), Reinforcement learning(Q-learning, DQN, actor-critic, human in the loop RL, etc).
Currently , i’m a PhD student at Reasoning and Learning Lab(REAL) at Linkoping(Sweden) and i’m working on the project Dynamic Multi-Drone Route Planning with Uncertainty and Constraints:DyMuDRoP
The overall goal of the project is to develop novel AI techniques for achieving robust and resilient collaborative goal achievement in dynamic, uncertain and potentially adversarial environments. To be more specific, the project will develop the technical foundations for managing the movements of multiple aircraft under dynamic and uncertain real-world conditions which is a key component for air-traffic management and autonomous airports.
Role 1
Research scientist
Role 2
Ai engineer
Test Score
AI, Machine learning, Data Science
70%
Unspecified
Any
Senior
Sweden
Any
NA
Education
-
August 11 2024 - Present
Linkoping University
Phd student at Reasing and Learning Lab Sweden
I'm working on multi UAVs route planning in a dynamic environment
Languages
English,
frensh