Sanketh Bhat
Senior Engineer | Controls & Optimization | Systems Engineering & Modeling | Industrial Digital Platforms | R&D Leader | Innovation & Product Development
- Role
- Senior Engineer at GE Vernova
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Sanketh Bhat
I am a results-driven and highly motivated Research & Development engineer with 14+ years of industrial experience across Transportation, Renewable Energy, Power and Healthcare domains with extensive expertise in conducing research & development from scale-up to applications, product & technology implementation in a challenging work environment. Holder of numerous patents, journal & conference publications. My primary expertise is in Controls & Optimization. Post completion of Master of Science and Doctor of Philosophy in Aerospace Engineering from University of Florida, I joined GE Global Research with the responsibility of developing cutting edge technologies for various GE businesses. Winner of numerous awards for effective planning & execution of programs entailing the entire Technology Readiness Level (TRL) spectrum from conceptual design to successful product handover. Work with global, multi-disciplinary teams and serve on committees for organization transformation & development.I utilize my domain knowledge and expertise in controls & optimization, systems engineering & modelling, signal processing and exposure to digital technologies like digital twins, Internet of Things (IoT), artificial intelligence, machine learning and on-premise/ edge/ cloud computing to introduce new technologies and conceptualize ideas to develop new products in solving system challenges. Use innovation tools like six sigma to develop & transition technologies into world-class innovative products using simulations, experiments, field trials and analytics with focus to improve customer experience.Specialities: Research & Development, Product & Technology Introduction & Development, Validation & Demonstration, Prototype Development, Simulation, Testing, Product Certification, Recruitment, Mentoring & Coaching, Team Coordination, Organizational citizenship
Experience
Senior Engineer
Apr 2024 — Present · Bangalore Urban, IN
Leading Global Fleet Performance Platform Initiative | Industrial Assets & RenewablesI currently lead a global initiative to design and deploy a next-generation fleet performance monitoring platform for industrial assets in the renewable energy sector. This cloud-based solution provides a scalable backend architecture that enables real-time monitoring at asset, plant, and fleet levels—giving users complete operational visibility.The platform’s core mission is to detect underperforming assets (“bad actors”) early, perform deep causal analysis, and deliver actionable insights to the service organization. These insights empower teams to take proactive, data-driven decisions that improve asset reliability, reduce downtime, and optimize performance across the fleet.Key highlights:$4M+ enterprise investment in developing the platformLead a global, multi-disciplinary team of 15+ engineers and researchers across data science, cloud, controls, and domain engineeringResponsible for architecture, strategy, and end-to-end delivery of the cloud-based solutionDriving the integration of scalable analytics, digital twins, and automated diagnostics to improve service efficiency and operational outcomesThis initiative is a critical step toward transforming fleet-level asset intelligence and strengthening our digital service capabilities in the renewable space.Organize and lead the monthly ARC Social Hour to enable knowledge exchange and community-building among researchers; actively contribute to the ARC Bangalore Innovation Council to accelerate innovation initiatives across teams.
Education
Veermata Jijabai Technological Institute (VJTI)
B. E., Production Engineering
2002 — 2006
University of Florida
MS, Aerospace Engineering
2007 — 2008
University of Florida
PhD, Aerospace Engineering
2007 — 2010
Massachusetts Institute of Technology
Data Science and Machine Learning: Making Data-Driven Decisions
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