About

Sumeha Kashyap is a highly skilled Machine Learning professional with 3.78 years of relevant experience in the field. She is currently working as a Software Engineer III at YouTube, where she is leveraging her expertise in Machine Learning and Software Development to drive business growth. Sumeha has a Master's degree in Computer Science from the University of Massachusetts, Amherst. During her time at UMass, she took coursework in Neural Networks, Natural Language Processing, and Machine Learning, which helped her gain a deeper understanding of the field. She also holds a Bachelor's degree in ECE with a Minor in Computer Science and Engineering from the Indian Institute of Technology, Guwahati. Before joining YouTube, Sumeha worked for 2 years at Samsung Research’s Visual Understanding Division, where she developed real-time, on-device deep learning solutions for various unconstrained image understanding problems like image classification, object detection, and human object interaction understanding. She has experience working in PyTorch and building time and space-efficient neural network architectures. Sumeha has also worked as a Machine Learning Intern at PathAI, where she used Multiple Instance Learning to improve disease classification in images spanning millions of pixels. She implemented an unsupervised learning technique called Contrastive Predictive Coding to create image representations that leverage unlabeled data. Additionally, she worked as a Graduate Student Researcher at Amazon, where she worked on Alexa-NLU and Common Sense Reasoning. Sumeha's technical skills include Software Engineering, Machine Learning, Neural Networks, Object Detection, Research Scientist, Deep Learning, NLP, PyTorch, and NLU. She is passionate about using her skills to develop innovative solutions to complex problems and is seeking full-time opportunities in Machine Learning and Software Development roles.