Murthy Malladi is an experienced Principal AI/ML Engineer at FactSet, where responsibilities include designing and developing scalable Named Entity Recognition (NER) and entity linking systems for financial documents, as well as implementing a vector-based question-and-answer system. Previously, Murthy served as an R&D Engineer at IPsoft, contributing to the development of modules for the Amelia chat application and classifiers using machine learning and natural language processing. Murthy also held the position of Application Engineer at Oracle, enhancing web service modules for customer order management and developing dashboards for order tracking. Experience includes work as a Software Development Engineer at ABB, specializing in 800xA process automation. Murthy holds an M.Tech in Computer Science and Data Processing from the Indian Institute of Technology, Kharagpur, and a Bachelor's Degree in Electrical and Electronics Engineering from the University College of Engineering (KU).
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