About

Ajaypal Singh is a highly skilled Machine Learning Engineer with over 9 years of experience in the field. He is currently working as a Machine Learning Team Lead at Siemens, where he has successfully led a team of six ML engineers in developing a person detection pipeline in 3D space, captured using specialized cameras. He achieved real-time predictions at 4FPS by deploying OpenVino model on Intel Movidius chip enabled hardware. He also oversaw the training data collection and a custom setup for capturing the 3D movement of a person in a closed space. He created an appearance embedding model and 2-D tracker for person tracking and re-identification, and evaluated SSD and YOLO networks for Average Precision for a single class (person) on MOT17 and KTP dataset. He achieved mAP@[0.5:0.95] 52.6% on MOT17 dataset for person detection. Ajaypal is also experienced in acoustic anomaly detection, where he developed an audio spectrogram image input based U-net architecture to detect steady-state and temporal anomalies. He achieved an F1 score of 0.92 for the dataset containing 80% normal and 20% abnormal sound data. He also has experience in volume estimation, where he mentored a team to design a framework to capture color and depth images of complex objects from multiple views. He implemented a semantic segmentation network to get object pixels and used depth images to generate a 3D point cloud. He computed the object volume within 10% error using volume integration method on the point cloud. In the past, Ajaypal worked as a Senior Software Engineer at Robert Bosch GmbH, where he developed a Convolutional Neural Network for pixel-wise segmentation of an image in different classes like sky, car, pedestrian, road sign, and lane for autonomous driving. He also worked on the development of driving maneuvers in Carmaker for evaluation of Driver Assistance functions such as ABS, Brake assist, cruise control, and standstill control for virtual test driving. Ajaypal has a Bachelor's degree in Mechanical Engineering from the Indian Institute of Technology, Kanpur. He is skilled in ML, Object detection, Computer Vision, Object Detection, Python, test, Research Scientist, C, Integration, Data Scientist, Software Engineer, Neural Networks, Mobile, Keras, AI, OpenCV, and TensorFlow. Ajaypal is a highly motivated and skilled individual with a passion for developing innovative solutions to complex problems.