About

Ketan Sethi is a highly skilled Software Engineer at Snap Inc. with a background in Computer Engineering. He has experience in Algorithm Development, Machine Learning, and Project Management. Ketan is an award-winning, detail-oriented, and self-motivated team player with a demonstrated ability to provide solutions to complex problems leveraging data. He is currently seeking full-time opportunities in Software Engineering or Machine Learning roles starting May 2021. Ketan has worked at Synopsys as a Machine Learning/Software Intern, where he utilized deep learning architectures to develop a new Photo-Mask generation process for the semiconductor fabrication companies. He also developed an algorithm to divide images into smaller components and stitch them back together after model training to reduce the training time. Ketan's work resulted in a new and improved process for fabrication involving deep learning techniques, which reduced the overall cost by 25% and TAT (Turn Around Time) by 10%. He has also published papers on detecting gaps in deep learning models used for mask process modeling and the impact of input data on a deep learning mask model. Ketan has also worked as a Technology Consultant at PwC, where he managed a team of developers to create visually appealing dashboards to improve business process management for one of the leaders in the Oil & Gas sector. He utilized structured data to develop mathematical models and predict annual sales in the Oil & Gas sector using Python Regressive model. Ketan worked with clients to understand their existing technological processes and devised user-friendly technological solutions like Service-Now, SAP-Fiori, and Tableau. He also attained the role of Track Manager for one of the most critical projects undertaken by PwC for one of their largest clients. Ketan holds a Master's degree in Computer Engineering from Texas A&M University and a Bachelor's degree in Electrical and Electronics Engineering from Delhi College of Engineering. He completed his high school education from Ryan International School. Ketan's technical skills include Software Engineering, Deep Learning, Machine Learning, and Python. He has relevant experience of 2.44 years.