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Building AI-enabled Digital Twin frameworks for Industry 4.0 that leveraged MLOps best practices for automation and monitoring the real-time analystics and predict anomalies. I collaborated with Marposs S.p.A., Italy where I successfuly proposed and deployed Digital Twin framework. My work combines machine learning, data science, edge and cloud computing and domain specific AI to enable faster, scalable, privacy preserved and smarter decision making in a IoT-Edge-Cloud Continuum.
My research focuses on autoencoding techniques for anomaly detection in real-time edge, cloud, and IoT environments.My research focuses on autoencoding techniques for anomaly detection in real-time edge, cloud, and IoT environments.
Vai al Curriculum
