Nilesh Hampiholi

1. Real-time room surveillance using stereo cameras, to detect and prevent any possible accidents. 2. Detecting and tracking objects (SLAM) using CNN algorithms (MobNet, Mask RCNN, and YOLOACT). 3. 3D camera calibration and real-time point cloud stitching to generate scenes of the environment. 4. 3D object detection using point clouds. Skills: Keras · Deep Learning · Object-Oriented Programming (OOP) · Computer Vision · SLAM · Python · Machine Learning · TensorFlow

1. Pre-processing time-series data including Feature Engineering, Anomaly Detection, and Visualisation. 2. Research and implementation of ML algorithms for time-series data prediction(LSTM, RNN). 3. Simulation tool development by serial-port emulation in Linux enabling software testing. Skills: Keras · Predictive Maintenance · Deep Learning · Object-Oriented Programming (OOP) · Python · Machine Learning · NumPy · TensorFlow