Adel Saleh

WORK HISTORY

EDUCATION

ABOUT ADEL SALEH

Leadership in AI Projects: Leading a high-performing team to develop AI-driven solutions for road surveying, defect detection, and image segmentation.Expertise in Machine Learning: Extensive experience in self-supervised learning, Few-Shot Learning, and Graph Convolutional Networks, with successful deployment of models for object detection, classification, and segmentation.Data Science Pipelines: Proven ability to design and manage scalable AI pipelines, incorporating both labeled and unlabeled data to maximize model performance.Cutting-edge Techniques: Applied advanced models like Swin Transformers and ProtoNets for tackling complex tasks, driving significant improvements in object detection and multi-label classification.Proficiency in Deep Learning Frameworks: Advanced knowledge in PyTorch, TensorFlow, and Keras, used in multiple large-scale projects, ensuring high accuracy and efficiency.Data-driven Innovation: Bridging academic research and practical applications to drive business value and innovation in AI solutions.Proficient in Programming Languages: Strong Python expertise, with additional programming experience in C++, SQL, C#, and Java, focusing on both AI and web scraping.Advanced Data Visualization and Communication: Skilled in translating complex data insights into actionable recommendations through clear communication and advanced data visualization techniques.High-Performance Computing: Expert in leveraging CUDA GPUs for accelerating deep learning model training and execution.Cross-disciplinary Collaboration: Experience working in digital pathology and radiology research, collaborating on projects like breast cancer detection, making significant contributions to biomedical AI solutions.Retrieval-Augmented Generation (RAG) & Semantic Search: Experienced in leveraging LangChain, LlamaIndex, FAISS, and Cohere to build advanced RAG pipelines, vector databases, and semantic search.