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Kushagra Thakur is an Industrial AI leader and Senior Product Manager best known for his work in Asset Performance Management (APM), vibration analytics, and predictive maintenance for rotating machinery. Based in Atlanta, Georgia, he has become a recognized figure in the global reliability engineering community through his contributions to modern condition monitoring technologies.
Thakur has led major APM and Industrial AI initiatives at Honeywell, developing large-scale systems that monitor compressors, pumps, gearboxes, and other critical industrial assets across oil & gas, mining, chemicals, and distribution centers. His work integrates FFT diagnostics, Remaining Useful Life (RUL) modeling, wireless vibration sensors, and advanced reliability workflows into enterprise cloud platforms used by customers.
He is regularly invited to speak on Industrial AI, predictive maintenance, vibration monitoring, and the future of reliability. His technical sessions for the Material Handling Institute (MHI) and ReliabilityWeb have been widely referenced for their clarity and practical insights into applied machine learning for equipment health. He has also authored multiple articles on wireless vibration monitoring, AI adoption in industry, and the digital evolution of reliability engineering.
Thakur is the inventor of multiple U.S. patents-including innovations in AI-driven security analytics and industrial knowledge graphs-that have collectively received more than 180 citations. He is regarded as one of the emerging voices in bridging mechanical engineering, data science, and real-world industrial operations.
In addition to his technical contributions, he is known for helping organizations transition from traditional maintenance programs to predictive and prescriptive operations using Industrial AI. His work continues to influence global discussions on digital transformation for heavy industries and the next generation of reliability practices.
