About

Anuj Khare is a highly experienced Machine Learning Engineer with over 7 years of relevant experience in the field. Currently working at Google as a Software Engineer, Anuj has a proven track record of developing innovative algorithms and techniques to solve complex problems in the domain of machine learning. Anuj's expertise lies in developing algorithms for detecting text, fields, and tables from scanned documents and organizing this information in a hierarchical representation amenable to querying. He has also worked on data-driven discovery of automatable software processes, developing unsupervised pattern mining techniques to cluster similar data points and discover repeating sequences of data points. Additionally, Anuj has developed a Python abstraction for finding and extracting tables from Excel sheets and editing them in-place, which is used across multiple Soroco projects. Anuj holds a Bachelor of Technology (B.Tech.) degree in Mathematics and Computer Science from the Indian Institute of Technology, Guwahati. He is skilled in various technologies including ML, Python, Pytorch, Tensorflow, and Backend. Anuj has previously worked as a Technical Lead and Software Engineer at Soroco, where he was responsible for developing and implementing various machine learning solutions. Anuj is a highly motivated and dedicated individual with a passion for solving complex problems using innovative technologies. He is a quick learner and has a strong ability to adapt to new technologies and work in a fast-paced environment. Anuj is a team player and has excellent communication skills, making him an asset to any team he works with.