CV

Computer Vision Specialization

Princeton University, US

• COS 529 Advanced Computer Vision
  • 3D vision, recognition and recent research methods.
• COS 597B Recent Advanced in Computer Vision
  • Robustness, transparency and fairness of CV systems.

Masters in Computer Science

Rutgers University, New Brunswick, US

Bachelors in Computer Science

BITS Pilani, Pilani

Deep Learning Performance Engineer, Inference (Intern)

Nvidia

• Develop highly optimised inferencing for deep learning model.
• Internship Poster

SDE-2 (ML)

Flipkart Inc. (Walmart's subsidiary)

Software engineer (Camera and Imaging)

Samsung R&D Institute Bangalore

ELECTRONIC DEVICE AND METHOD FOR CONTROLLING ELECTRONIC DEVICE

• Novel Super Slow Motion (SSM) capture using software assisted trigger via motion identification maps of region of interest (ROI) frames. Joint inventor for SSM project commercialization in mid-tier smartphones at SRI-B.

Deep Demosaicing Using ResNet-Bottleneck Architecture

• CNN based deep learning model for de-mosaicing raw camera sensor data into an RGB image.