Anantharaman Janakiraman
About Anantharaman Janakiraman
Anantharaman Janakiraman is the Principal/Director of Machine Learning Engineering at Expedia Group, with extensive experience in machine learning, data science, and information security.
Company
Anantharaman Janakiraman is currently working at Expedia Group as a Principal/Director in Machine Learning Engineering. His role has spanned a significant period, operating remotely from the Dallas-Fort Worth Metroplex.
Title
Anantharaman holds the title of Principal/Director Machine Learning Engineering at Expedia Group. His responsibilities include overseeing machine learning engineering efforts and ensuring the integration and implementation of machine learning models within the company.
Education and Expertise
Anantharaman earned his Doctor of Philosophy (PhD) in Computer and Information Sciences from the University of the Cumberlands (2019-2024). He also holds a Master of Science (MS) in Data Science from Indiana University Bloomington (2018-2022), a Master of Computer Science from the University of Illinois Urbana-Champaign (2016-2018), and a Bachelor of Engineering (BE) in Computer Science & Engineering from Bharathidasan University (1997-2001). Additionally, he has achieved certifications in Big Data analysis and leadership strategies from Cloudera University and Stanford University, respectively.
Professional Background
Before joining Expedia Group, Anantharaman worked at several companies, including American Family Insurance as Principal - ML Research & Innovations Group, Cisco as Leader, Machine Learning Operations, Levi Strauss & Co. as Machine Learning Engineering Lead, CNA Insurance as Senior Machine Learning Engineer & Enterprise ML Architect, and Capgemini as Lead Consultant. His earlier roles included positions at Syntel, such as Senior Project Lead, Project Lead/Technical Lead, and Senior Application Developer. He also worked at Electronic Data Systems as an Information Security Analyst.
Industry Skills and Knowledge
Anantharaman has extensive experience in template-based information extraction, transforming unstructured text into structured data using NLP tools. He has implemented machine learning models on Google Cloud Platform, integrated them with on-premise applications, and worked with Hadoop ecosystem technologies like Pig, Hive, and Impala. He possesses strong expertise in MapReduce implementations using Python and Java and has successfully integrated legacy mainframe applications with predictive model implementations. He is also known for his excellent writing skills for creating documentation and reports and demonstrates a commitment to continuous improvement in work processes.