Responsibilities include:

• Deployed an end-to-end radar based solution to detect objects in dusty conditions on farms for a self-driving tractor.
• Developed a clustering and a machine learning based solution to identify useful objects in presence of the heavy ground clutter in radar point clouds.

• Developed a deep learning based 3D object detection pipeline for sparse radar point cloud data.
• Studied the trade-off between resolution and processing speed of radar’s bird-eye-view maps and the effect of using a point-based encoder.

• Developed a deep learning model to perform predictive analysis on the data generated from network and system logs using network parameters like jitter and bandwidth for network fault prediction, security management and traffic optimization.
• Obtained the Samsung Professional SWC Certification within 3 months of employment which is currently held only by less than 5% of around 1800 company employees.