Salma Waleed

As an innovative and results-driven AI engineer specializing in computer vision, robotics, and artificial intelligence, I have a strong foundation in both theoretical knowledge and practical application. My work spans various domains, including autonomous systems, machine learning, and robotics. With a Bachelor of Science degree in Artificial Intelligence from the Arab Academy for Science, Technology and Maritime Transport in partnership with Universitat Autònoma de Barcelona, I have equipped myself with a solid academic foundation in intelligent systems and a CGPA of 3.5/4.0.

Professionally, I have gained hands-on experience through diverse roles, such as serving as the Head of the Computer Vision team at SkyXperts, where I led a team of ten to develop advanced computer vision techniques for drone applications. This role allowed me to refine my project management skills, resulting in a 25% improvement in team efficiency and a 30% reduction in project completion time. As a Software Engineer Intern at Obyan, I designed and implemented a Java-based Android UI, boosting user engagement by 40%. Additionally, I integrated performance-enhancing hardware like the Votol 150 controller, resulting in substantial improvements in scooter system metrics. My role as an Undergraduate Research Assistant at WeBios Lab was another significant milestone, where I worked on brain-computer interface (BCI) projects, improving data accuracy by 20% and enhancing the AI-driven perception systems used in EEG headsets.

My academic and professional journey has been enriched by numerous projects. For my graduation project, I developed autonomous safety features for smart electric scooters, utilizing predictive machine learning models to accurately assess surrounding vehicle trajectories. The project incorporated computer vision, sensor fusion, localization, path planning, and control algorithms, achieving 80% accuracy in real-world simulations. Another notable project involved creating a monocular depth estimation model for a Tello drone to autonomously generate 3D maps, in which I compared architectures such as U-Net and Pix2Pix GAN, demonstrating versatility in working with various machine learning frameworks.

With expertise in a variety of programming languages, including Python, C++, and Java, and a range of tools and technologies from TensorFlow and Keras to ROS and Gazebo, I am committed to leveraging my skills in AI and robotics to push the boundaries of innovation. I am fluent in English, a native speaker of Arabic, and have a foundational knowledge of French, which enables me to adapt to and communicate effectively in multicultural environments. My professional goal is to continuously contribute to advancements in autonomous systems and AI-driven technologies, fostering innovation and enhancing user experiences.