Khaled Elgalaind is a seasoned Sr. Software Engineering Manager at Amazon Web Services (AWS), where he currently leads the engineering efforts for SageMaker HyperPod, Profiler, and Hosted TensorBoard. With a decade of experience in C++ development, Khaled has honed his expertise in building sophisticated scientific...
Khaled Elgalaind is a seasoned Sr. Software Engineering Manager at Amazon Web Services (AWS), where he currently leads the engineering efforts for SageMaker HyperPod, Profiler, and Hosted TensorBoard. With a decade of experience in C++ development, Khaled has honed his expertise in building sophisticated scientific products that leverage advanced algorithms and data structures. His solid academic background complements his technical skills, particularly in machine learning fundamentals and graph theory, enabling him to tackle complex challenges in the cloud computing landscape.
In his role at AWS, Khaled has successfully transitioned projects from conception to production, demonstrating a robust project management acumen developed over four years. His leadership in engineering and program teams for Deep Learning on AWS, including AWS PyTorch and AWS TensorFlow, has been instrumental in advancing the capabilities of deep learning frameworks and benchmarks. Khaled's proficiency in languages such as C, Python, and Perl, alongside his experience with VLSI and computational geometry, positions him as a versatile leader capable of driving innovation in high-performance computing environments.
Khaled's commitment to excellence is evident in his strategic approach to software project management, where he emphasizes collaboration and agile methodologies to ensure timely and successful product releases. As he continues to push the boundaries of machine learning and data processing at AWS, Khaled remains dedicated to empowering teams and fostering a culture of continuous improvement and technical excellence. His contributions not only enhance AWS’s offerings but also significantly impact the broader AI and machine learning community.