Prennoy Babu
Master's student in Commercial Vehicle Technology, Computer Vision
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Summary
Focused on computer vision for industrial quality control, especially unsupervised visual anomaly detection of small defects during assembly. xing
Experience applying machine learning in production contexts: building proofs of concept, preparing production data, and using frameworks like PyTorch, TensorFlow, MMDetection and YOLO. xing
Academic grounding in vehicle technology and control with practical research ties to industry and research institutions (AUDI AG and DFKI Augmented Vision Team). xing
Solid engineering education background from T.K.M. College of Engineering and international schooling, evidenced by placement listings and school records. ac+1
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