CV

Education

Ph.D. in Perception for Autonomous Driving, Paris-Saclay University & CEA LIST, 2022-2025 (expected)
Engineering Cycle & M.Sc. in Data Science and Artificial Intelligence, Institut Polytechnique de Paris, 2019-2022
Preparatory Classes (Mathematics and Physics), 2016-2019

Apr. 2022 - Oct. 2022: Computer Vision Research Intern
- CEA LIST, Palaiseau, France
- Duties included: Developed novel incremental learning methods for semantic segmentation in resource-constrained settings using a Transformer network.
- Outcome: Achieved state-of-the-art results.
Jun. 2021 - Sep. 2021: Research Intern
- Institut Polytechnique de Paris, Palaiseau, France
- Duties included: Developed a robust algorithm using CNNs to detect early signs of Alzheimer’s disease from handwriting samples and implemented an ensemble learning technique.
Jun. 2020 - Sep. 2020: Computer Vision Intern
- Opinaka, Montpellier, France
- Duties included: Explored crowd counting algorithms, designed a Scale-Attention Autoencoder in TensorFlow, and optimized inference time.
Jan. 2020 - Jun. 2020: Intern, Facial Emotion Analysis
- VocaCoach, Paris, France
- Duties included: Cleaned and augmented the FER2013 image dataset, reduced class imbalance, and developed a seven-class emotion classification network using VGG19.

Machine Learning: Self-supervised Learning, Weakly Supervised Learning, Incremental Learning, Ensemble Learning, Transfer Learning
Deep Learning:
- Frameworks: Pytorch, TensorFlow, OpenMMLab
Computer Vision: 3D Object Detection, Semantic Segmentation, Crowd Counting, Facial Emotion Analysis, Medical Imaging
Programming & Data Science: Python, Object Oriented Programming, Statistics, Optimization, Databases, Data Augmentation