I'm a passionate Data Scientist with expertise in machine learning, deep learning, and competitive programming, currently leading R&D projects at Wakeb in Saudi Arabia. My work focuses on developing scalable AI solutions, optimizing model performance, and deploying models on edge devices. Known for my analytical abilities, technical expertise, and problem-solving mindset, I bring a deep understanding of AI and a commitment to innovation in real-world applications.
- Working on a flexible package for object detection and tracking in video analytics.
- Experimenting with the Mamba model for NLP and CV tasks.
- Learning about MPI, CUDA, and OpenMP to master parallel processing.
- Programming Languages: Python, C++, Java
- Frameworks & Libraries: PyTorch, TensorFlow, PyTorch Lightning
- Tools & Technologies: Docker, DeepStream, CUDA, MPI, OpenMP
- Specialized Areas: Multi-node training, Edge AI, MLOps, Machine Learning in Production
- CGIAR Eyes on the Ground Challenge - Silver Medal
- NASA Harvest Field Boundary Detection Challenge - Silver Medal
- Bachelor of Computer Science, Zagazig University, Egypt
- Certificates:
- CS50 by Harvard University
- Machine Learning by Stanford University
- Deep Learning Specialization by deeplearning.ai
- AI for Medical Diagnosis by deeplearning.ai
-
Data Scientist at Wakeb (2023 - Present)
Leading AI model deployment on edge devices, optimizing inference pipelines, and developing solutions in video analytics with DeepStream. -
Satellite Technology Trainee at Egyptian Space Agency (2020)
Focused on image processing and network communication in satellite technology.