About

Mayank Saxena is a highly skilled Software Engineer II at Amazon, with over 3.5 years of relevant experience in the field. He possesses a strong background in software engineering, research, and machine learning, making him a valuable asset to any team. Mayank's education history is impressive, having earned a Masters of Science (M.S.) in Computer Science with a Machine Learning Track from Columbia University in the City of New York, and a Bachelor of Technology (B.Tech.) in Mathematics and Computer Science from Delhi College of Engineering. He also attended The Mother's International School. Before joining Amazon, Mayank worked as a Software Engineer at the same company and as a Research Intern at IBM Research, T.J. Watson Research Center. During his time at IBM, he focused on Privacy-Preserving Machine Learning, developing efficient and scalable unsupervised learning algorithms conducive to the encrypted space, enabling machine learning on private and sensitive industrial data. He also filed a patent for developing and implementing a new data packing technique that led to massive improvements in space and time complexity of clustering algorithms for encrypted data. Mayank's tech stack includes software engineering, research, and machine learning, making him an excellent candidate for any project that requires these skills. He is a highly motivated and dedicated individual who enjoys working in a team environment and is always looking for ways to improve his skills and knowledge. Overall, Mayank Saxena is a talented Software Engineer II with a strong educational background and relevant experience in the field. He is a valuable asset to any team and is sure to make significant contributions to any project he works on.