About

Govind Agarwal is an experienced Software Development Engineer with a strong background in Java, Python, Data Structures, Algorithms, ML, NLP, and AWS technologies. He is currently working as a Software Developer Intern at Amazon, where he has built an end-to-end infrastructure to provide insights into network monitoring data via a visual dashboard on OBIEEE. Govind has worked on several projects during his tenure at Amazon, including developing and scaling a system named AutoASIN that auto-corrects vendor input based on a combination of historical data-based learning and static business rules. He has also worked on a project that scrapes Amazon catalog and tries to find potential information errors like cross-attribute mismatch, image mismatch via Deep Learning, MXNet, and NER. Govind's contributions to these projects include developing a mechanism to correct brand value shown on detail page via historic data, developing a separate pipeline to unblock asin creation due to unnecessary errors, and developing a scalable reporting module for an intake of 100M events/day. Govind holds a Bachelor of Technology (B.Tech.) in Computer Science from the Indian Institute of Technology (Banaras Hindu University), Varanasi. He also has a Higher Secondary degree in Science from Sun International School, Jhansi. Govind's tech stack includes Software Engineering, AWS, NLP, Deep Learning, ML, Python, Java, Amazon Athena, Redis, Elastic Search, Supervised Learning, and Hadoop. With 7.11 years of relevant experience, Govind is a strong engineering professional with a demonstrated history of working in the IT industry.