About

Gaurav Shukla is an experienced Software Engineer with a demonstrated history of working in the computer software industry. He is currently working as a Machine Learning Compiler Engineer at Nod labs, where he is involved in open-source contributions to torch MLIR. Gaurav has a strong engineering background with a Master's degree in Computer Science from the Indian Institute of Technology, Delhi. Gaurav is skilled in a wide range of programming languages, including C++, Java, JDBC, Python, JavaScript, and Linux. He has also worked extensively with ML technologies such as Tensorflow, AI, Deep Learning, SVM, NLP, and Neural Networks. Gaurav has a passion for software engineering and has gained relevant experience of 5.03 years in the field. In his previous roles, Gaurav has worked as a Software Engineer at Polymage Labs, where he contributed to compiler infrastructure and open-source projects such as LLVM and Tensorflow MLIR. He has also worked as a Program Associate A at Wells Fargo, where he designed a stock market naive application in Java Microservices architecture and an auto-mailing system that reads required information from confluence pages and sends notifications to Symphony chat groups and mails to multiple recipients. Gaurav's education history includes a Bachelor's degree in Computer Science & Engineering from the University Institute of Technology, RGPV, and a Master's degree in Computer Science from the Indian Institute of Technology, Delhi. Gaurav's technical skills include ML, Python, Tensorflow, Javascript, Java, infra, test, SQL, Microservices, MongoDB, Search, and Mobile. He is a highly skilled and experienced software engineer who is passionate about developing innovative solutions using cutting-edge technologies.