About Me

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Currently working as Member of Technical Staff in Oracle Health & AI. Designing Healthcare systems using NLP. I did my M.Tech in Computational and Data Science Department (CDS) at IISc, Bengaluru. I was a part of the Video Analytics Lab (VAL) led by Prof. R. Venkatesh Babu

For my M.Tech thesis, I worked on Adversarial Robustness of Deep Neural Networks. (Hands-on tutorial)

Education

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• M.Tech. in Computational and Data Sciences
  Indian Institute of Science, Bengaluru
  2019 - 2021
• B.Tech. in ECE
  Indian Institute of Information Technology,Design & Manufacturing,Jabalpur
  2014 - 2018

Awards

• IASc-INSA-NASI Summer Research Fellowship Award (2016)
• Member of the Indian Youth Delegation to China (2016)
• Gold Medal in IMO (2012)

SSIM based adversarial training:

• Proposed a novel SSIM based adversarial training to achieve adversarial robustness for classification models in alignment to human perception.
• Achieved better performance than standard PGD adversarial training against all White-Box attacks.

Graph Visualization using GraphTSNE:

• Visualized graph-structured data using a variant of t-SNE and Graph Neural Network.
• Achieved highest 1-NN accuracy and minimum total feature distance between nodes in lower dimension embedding.

Experience

Practical Trainee:

• Development of an FPGA based high performance framework for Encryption Accelerators and RSA Integer Multiplier.
• Achieved better performance than all generic Intel processors at BARC

Research Intern (IASc-SRFP):

• Implemented different No-reference and Full-reference Image Quality Assessment Algorithms which scores quality of a given image at IIT H
• Particular emphasis on SSIM and NIQE.

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Contact

You can find me on and

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