About

Malavika Srikanth is an Applied Scientist at Amazon, where she works on Natural Language Processing (NLP) problems as part of the Advertising org. With 3.78 years of relevant experience, she has a strong background in NLP and Machine Learning. Malavika completed her Master's degree in Computer Science at Columbia University, where she focused on NLP and Machine Learning. During her time at Columbia, she worked with the Columbia NLP group under the guidance of Dr. Kathleen McKeown and Dr. Smaranda Muresan. Her research focused on Stance Prediction and Propaganda Technique Detection. As a Research Assistant at Columbia's Text Processing lab, Malavika proposed and implemented a novel deep learning architecture for unseen target stance detection, which outperformed the current state-of-the-art on multiple target topics. This work was accepted to NAACL 2021. She also built a BERT-based model to detect propaganda techniques as part of a research project under the guidance of Dr. Smaranda Muresan. Malavika's technical skills include NLP, ML, XGBoost, Neural Networks, Pytorch, and Deep Learning. She is a Research Scientist with a passion for solving complex problems and developing cutting-edge solutions. In summary, Malavika Srikanth is an Applied Scientist at Amazon with a Master's degree in Computer Science from Columbia University. She has 3.78 years of relevant experience in NLP and Machine Learning and has worked on Stance Prediction and Propaganda Technique Detection during her time at Columbia. Malavika is a Research Scientist with a strong technical background in NLP, ML, and Deep Learning.