Conducted ML experiments for hyperparameter tuning and model quantization on Xilinx FPGA

Implemented a multi-object tracking-based car occupancy registration approach and demonstrated it on a field robot in a real parking lot

Proposed a Panoptic-DeepLab inspired model architecture and a new evaluation metric; Augmented model performance with depth uncertainty estimation and multi-scale semantic feature fusion modules

Polished Pytorch skills by implementing end-to-end model training, testing and hyper-parameter optimization

Contributed to the development of perception stack for an autonomous beach monitoring robot. Finetuned and deployed TensorRT optimized YOLO V3 object detection on a Jetson Xavier NX for real-time application