experience

Graduate Research Assistant – Boston University

[Sep 2025 - Present]

Advisor: Prof. Deepti Ghadiyaram

Working on a cross-resolution latent distillation framework that improves fine-grained detail reconstruction in variational autoencoders.

Graduate Student Researcher – SHI Labs, Georgia Tech

[Aug 2023 - May 2025]

Advisor: Humphrey Shi

Closely worked with: Judy Hoffman

Built generalist multimodal LLMs spanning image, audio, and video, and improved the smoothness of diffusion model latent spaces (Smooth Diffusion, CVPR 2024).

ML Research Intern – Adobe

[Jun 2024 - Aug 2024]

Advisor: Balaji Krishnamurthy

Worked on developing a tool to evaluate instruction and user intent following capabiliites of LLMs for complex prompts

ML Intern – Neural Garage

[Feb 2023 - Jun 2023]

Developed the voice cloning module for the lip-sync module, which involves leveraging text-to-speech synthesis techniques across six languages and improvised existing architectures for lip-sync generation by synthesizing neutral expression videos.

Research Intern – IBM Research

[Jun 2022 - Sep 2022]

Advisor: Dr. Diptikalyan Saha

Worked with the Trusted AI team on interpretability repair of ML models, porting explanations from a target model onto an already-deployed model according to user needs.

Research Intern – Artificial Intelligence and Robotics Lab, IISc Bangalore

[Sep 2021 - Jun 2022]

Advisors: Prof. Suresh Sundaram and Dr. Chandan Gautam

Worked on zero-shot domain generalization in vision, continual zero-shot learning for text classification and on improving robustness for open-set detection.