About

Sankha Subhra Mullick is an Applied Research Engineer at LinkedIn, where he is a part of the Content Quality AI team. With a Ph.D. in Computer Science from the Indian Statistical Institute, Sankha's primary areas of research are Machine Learning and Deep Learning. He has a keen interest in developing novel variants of classical and deep classifiers that are tailored for handling data irregularities such as class imbalance. Sankha is also interested in meta-learning, deep generative models, and adversarial attacks. Sankha has extensive experience in evolutionary optimization algorithms, especially differential evolution. He enjoys working with image data, making computer vision and image processing his two natural favorites. Currently, as an Applied Research Engineer at LinkedIn, Sankha is extending his interest to Natural Language Processing. Prior to joining LinkedIn, Sankha worked as a Visiting Scientist at the Indian Statistical Institute and as a Summer Intern at the Indian Institute of Technology. Sankha's educational background includes a Ph.D. in Computer Science, an M.Tech in Computer Science, and a B.Tech in Computer Science. He also holds a Higher Secondary degree from Hindu School and a Secondary degree from The Scottish Church Collegiate School. Sankha's tech stack includes Research Scientist, NLP, Computer Vision, AI, Image Processing, Deep Learning, and ML. With 1.70 years of relevant experience, Sankha has a strong research background and is a skilled engineer. For a complete list of his publications, you can visit his Google Scholar page.