Ali Dibaj
Senior Data Scientist | Machine Learning Engineer
I develop and deploy machine learning models for time-series forecasting, anomaly detection and fault diagnosis. With research and domain experience in vibration analysis of rotating machinery, I turn raw sensor data into practical insight for industrial AI and predictive maintenance.
Experience
Autodesk
2025 – PresentSenior Applied AI Engineer
Part of the MaintainX team, working on asset intelligence to give a 360° view of asset health and status.
Brüel & Kjær Vibro, Denmark
2024 – 2025Data Scientist
Built and deployed deep learning models for fault diagnosis and anomaly detection in wind turbine gearboxes, using MLflow, Docker and FastAPI on AWS.
NTNU, Norway
2020 – 2024PhD Researcher, Marine Systems Engineering
Physics-informed and domain-adaptation deep learning for fault detection in offshore wind turbine drivetrains.
Projects
All projects
Vibration Analysis Agent
Specialized agents working together for automated vibration analysis.
Gearbox Fault Diagnosis
Classifying bearing faults in a 5-MW reference wind turbine drivetrain.
Machinery Diagnostic Assistant
Explainable, actionable maintenance reports from vibration data.
Bearing RUL Prediction
Predicting remaining useful life of rolling element bearings.
Publications
All publicationsDOI