About

Ayush Singh is a highly motivated Software Engineer with a strong background in Machine Learning, Computer Vision, Deep Learning and Data Science. He is currently pursuing his Master's degree in Computer Science from the University of Southern California and is set to graduate in May 2021. Ayush has a passion for working on challenging real-world projects that have a positive impact on society. Ayush has gained valuable experience through his internships and personal projects. He recently interned at Zillow Group, where he worked on productionalizing a Machine Learning-based similarity algorithm for generating comps for over 100 million homes. He was responsible for developing end-to-end scalable Machine Learning workflows and deploying them on Kubeflow and AWS. Prior to this, Ayush was involved in research at USC Center for Artificial Intelligence in Society, where he developed a novel end-to-end spatial ensemble framework for land cover mapping applications using Deep Learning and Computer Vision techniques. During his bachelor's degree, Ayush worked on the Perception team at Autonomous Vehicle Lab, IIITD, where he led the development of a software module for Lane detection and tracking using Machine Learning and Computer Vision techniques. He also achieved significant speed and performance improvements from the existing method by working with real-world data collected from the vehicle. Ayush is passionate about giving back to the community and has been a core member of the PyData Delhi community. He has delivered various talks and workshops at local meets and was invited to speak at global conferences like PyCon Hong Kong and PyCon France. Ayush's technical skills include Data Science, ML, Computer Vision, Software Engineering, AWS, Deep Learning, AI, Research Science, Pandas, Python, and Pytorch. He has a relevant experience of 2.18 years. Ayush is a quick learner and is always looking for new challenges to enhance his skills.