CV

PhD

Arizona State University

• Advisors: Yezhou Yang, Chitta Baral

Masters in Computer Science (with thesis)

Arizona State University

• Theis: Counterfactual Reasoning for learning implicit physical properties
• Advisors: Yezhou Yang, Chitta Baral

Bachelor of Technology (ICT)

Dhirubhai Ambani Institute of Information and Communication Technology

• Advisor: Hemant Patil

Research Assistant

Arizona State University

• Robust multi-modal Representation Learning.
• Advisor: Yezhou Yang

AI/ML Intern

LatentAI

• Semantic segmentation model compression for edge devices.
• Advisor: Jan Ernst

Research Assitant

Arizona State University

• Unsupervised aspect based sentiment analysis.
• Advisor: Hasan Davulcu

Data Science Associates

AI-CoE, ZS Associates

• Transformers for rare-disease detection from tabular data.
• Advisor: Prakash Prakash

• Received ($950) Graduate College Travel Award FY23 Q4 for NeurIPS from ASU.

• Received ($300) Graduate College Travel Award FY22 Q4 for NeurIPS from ASU.

• Simon Fraser University - MSCS Research scholarship of $42,000.00 (Declined).

• Deans' Award for Excellence in Research & Innovation in class of 2020 undergraduate batch.

• Ranked under top 50 out of 7000 applicants in ML-challenge organized by ZS Associates in India.

• Towards Robust Text-to-Image Generative Models in Resource-Efficient Manner. -- RGMV - Tutorial @ WACV'24

• Survey and Trend in Vision-Language. -- ASU

• Recent Advances in Generative Models. -- DAIICT

• Importance of Counterfactual Reasoning towards Human Level Intelligence (HLI). -- LatentAI

• MSpeC-Net Multi-Domain Speech Conversion Network -- ICASSP

• Towards eXplainable AI (XAI) to understand what CNNs are learning.
• How to deploy any deep learning system?