About

Vamsi Krishna Penumadu is an Applied Scientist at Amazon with over 6 years of relevant experience in Natural Language Processing and Deep Learning. He holds a Master of Technology degree in Computer Science with a specialization in AI and Machine Learning from the prestigious Indian Institute of Technology, Hyderabad. His expertise lies in solving Natural Language and Computer Vision related use cases using Machine Learning and Deep Learning. Vamsi has worked in the clinical domain and has been involved in projects related to semantic search, sequence labeling (NER), clinical embeddings, and semantic segmentation on medical images for various modalities. He has published two papers related to neural machine translation for converting clinical sentences to clinical concepts in AAAI conference held in Hawaii, 2019, and clinical word embeddings in ICSC conference held in California, 2019. Prior to joining Amazon, Vamsi worked as a Data Scientist 2 at Philips, where he gained extensive experience in the healthcare industry. He has also worked as a Data Scientist at HP Data Labs. Vamsi's tech stack includes Python, CNN, Keras, AI, OpenCV, Edge Detection, Big Data, TensorFlow, PyTorch, Information Retrieval, SVM, Random Forest, RNN, language models, Scikit, Pandas, Neural Networks, and Mobile. He is a highly skilled Research Scientist with a passion for solving complex problems using AI and Machine Learning.