cv

PhD

Image Analysis and Computer Vision Lab, IISc, Bangalore

B.Tech

EEE, NITK Surathkal

Senior Software Engineer

PathPartner Technology, Bangalore

• DSP Optimization for ML Workloads - Implemented SIMD-vectorized kernels using intrinsics to accelerate TensorFlow operations on Cadence Tensilica Vision DSPs, improving execution efficiency on resource-constrained edge devices.

Software Engineer

PathPartner Technology, Bangalore

• Face Detector for Driver Monitoring System - Built and deployed a Single-Shot Detector-based face detection system for driver monitoring SDK, integrated across Intel, ARM, Qualcomm, and Cadence platforms for real-time inference.
• Edge Deployment of Deep Learning Models - Ported and optimized TensorFlow/Caffe models to edge devices using SNPE, OpenVINO, and ArmNN, enabling efficient on-device inference.
• MLPerf-style Benchmarking - Benchmarked representative CNN architectures (e.g., ResNet, Inception) on NVIDIA Jetson TX2 and Nano, analyzing latency, throughput, and energy trade-offs to inform deployment decisions on edge hardware.
• Industrial Defect Detection - Developed a CNN-based visual inspection system for detecting defective vacuum-sealed food packages for real-time deployment in industrial production pipelines.

• Recipient of the Prime Minister’s Research Fellowship (PMRF).

• Secured a state rank of 254 in Joint Entrance Exam (JEE) Main.
• Secured a rank of 172 in Karnataka Common Entrance Test (KCET).

• AAAI (6), WACV (2), ICLR (3), CVPR (4), TPAMI (1), Pattern Recognition (1), ICCV (3), BMVC (4)

• CVPR (3), ECCV (1), BMVC (3), ACCV (2)

• ICCV (1)