Hello! I’m Suvodeep Majumder

Bio

As an accomplished Computer Science  Ph.D. student from North Carolina State University and extensive research experience, I aim to leverage my knowledge and skills in a challenging role in the field of Artificial Intelligence and Machine Learning. My research work includes developing and implementing large-scale machine learning models and algorithms for complex tasks like transfer learning, AI fairness, and large-scale graph mining, among others. My contribution to these domains has been published in top-tier journals and conferences, earning accolades like the ACM SIGSOFT Distinguished Paper Award.

With my recent experience as an Applied Scientist II Intern at Amazon AWS, I have developed novel solutions for problems related to neural machine translation (NMT). I have researched the identification of relevant context for NMT and studied the effect of model architecture on contextual NMT. Additionally, I have developed a system for knowledge distillation for contextual translation and improved the pivot NMT performance by supplying linguistic information as source and target context.

As an enthusiastic learner, I strive to keep myself updated with the latest trends and techniques in the field of machine learning. My goal is to utilize my knowledge and expertise to work with an innovative organization that values creativity, ingenuity, and continuous learning. I aspire to collaborate with a team of researchers and engineers to solve complex problems and create cutting-edge solutions that can make a positive impact on society. My ultimate objective is to become a leading researcher and practitioner in the field of AI and machine learning, continuously pushing the boundaries of what's possible with technology.