About

Ayush Dwivedi is a highly skilled and experienced Machine Learning and Deep Learning Adjunct Professor, Researcher, and Software Developer with a passion for improving the world through the application of AI. He holds a Master's degree in Machine Intelligence and Cognition and has worked on various research projects for the DC Government, National Construction Safety Team (NCST) at the National Institute of Standards and Technology (NIST), and National Science Foundation (NSF) as a Research Assistant. Ayush is currently a recipient of Global Initiative Fellowship and works as an Adjunct Professor of Machine Learning and Deep Learning at American University and a Research Assistant at George Washington University. Ayush is proficient in several programming languages such as Python, Java, SQL, R, HTML, and CSS. He has also worked with various frameworks and libraries such as Tensorflow/Keras, Pytorch, OpenCV, Numpy, PySpark, Pandas, Scikit-Learn, Matplotlib, Django, Hybris, Spark, Flask, and Bootstrap. He is well-versed in developer tools such as Jira, Bucket, Confluence, Git, Eclipse, and Solr. Prior to his current roles, Ayush worked with Publicis Sapient for three years as a Full Stack Developer, where he facilitated the development of B2B and B2C eCommerce platforms that helped in the digitalization and transformation of corporations at a global scale. He has also worked as a Research Assistant and Teaching Fellow at George Washington University, where he curated image frames of historical movies and documentaries, worked on post-processing of extracted frames, and implemented autoencoders for colorization of grayscale images. Ayush's educational background includes a Master of Science degree in Computer Science from George Washington University and a Bachelor of Technology degree in Computer Science from LNM Institute of Information Technology. He has relevant experience of 6.69 years and possesses a strong technical skill set, including Research Scientist, Deep Learning, ML, Software Engineer, OpenCV, SQL, Keras, AI, Python, Spark, Scikit, Javascript, Tensorflow, Pandas, Flask, Pytorch, Django, and Java.