About

Anurag Saxena is a highly experienced software engineer with over 12 years of experience in designing, developing and deploying enterprise software. He is currently working at Google as a software engineer, where he is responsible for building platforms that handle over 30 million requests a day. Anurag is a strong supporter of the "Lean Startups" strategy and has expertise in Openfire, XMPP, system design, and overall enterprise application architecture. Anurag has extensive knowledge of search technologies such as Elastic Search, Solr, and Lucene. He has experience working with distributed systems and genetic algorithms. He is also a mobile app enthusiast and has developed Android apps using Nodejs and MongoDB. Anurag has completed coursework in Machine Learning and has a score of 100% in assignments and 98.8% overall. Anurag's expertise in Machine Learning extends to Support Vector Machine (SVM), Logistic Regression, Neural Networks, and supervised/unsupervised or clustered learning algorithms. He is also skilled in Computer Vision and has a strong interest in this field. Anurag has previously worked at Google and Domino Data Lab as a software engineer. At Google, he was responsible for processing and organizing the world's Movies & TV shows to enable the best experiences throughout Google. At Domino Data Lab, he worked on building the next generation platform for data scientists. Anurag holds a B.Tech in Mechanical Engineering from the Indian Institute of Technology, Kanpur. He also has a certificate in Mechanical Engineering and has completed high school from Manak Nagar Railway High School, Lucknow. Anurag's tech stack includes Software Engineering, SVM, ML, Search, Computer Vision, Neural Networks, MongoDB, Elastic Search, Mobile, NodeJS, and Android. Overall, Anurag has relevant experience of 16.79 years and is a highly skilled software engineer with expertise in Machine Learning, Search Technologies, and Computer Vision.