Soumik is a Machine Learning Engineer working on end-to-end deep learning pipelines as part of the Growth team at Weights & Biases. His research and development interests include Generative Machine Learning Models, Video Enhancement Systems, Neural Radiance Fields, and NLP-based solutions to improve and automate student evaluation in the education sector. He enjoys implementing research papers in machine learning and computer graphics and communicating such ideas using end-to-end notebooks, and articles. He’s also working on training machine learning models on TPUs using Jax, Flax, Tensorflow, and Keras.