I am a researcher at the Geophysical Inversion Group, Indian Institute of Science (IISc), where I develop and implement deep learning methods to address inherent limitations in unsupervised and scarce-label scenarios, often encountered in geosciences and other data-scarce fields. One of my key projects is a collaboration with ISRO, the Indian space agency, where I lead efforts to identify subtle elemental signatures in lunar X-ray spectroscopy data recorded by the Chandrayaan-2 mission. At IISc, I am advised by Dr. Pawan Bharadwaj, whose mentorship has been pivotal in shaping my research.

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In addition to my academic work, I contribute to Verda.ai, focusing primarily on steganography and audio machine learning while occasionally optimizing computational efficiency in deep learning based workflows. At Verda, we aim to tackle issues like misinformation and ensure the authenticity and provenance of digital content, working towards building a more trustworthy digital ecosystem.

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I hold an integrated master's degree in applied geophysics from IIT Dhanbad. My time there exposed me to diverse fields, but it was a rekindled passion for research that ultimately defined my path. My primary focus lies in representation learning—developing deep learning approaches to extract meaningful features from complex data for downstream tasks. I have worked on or am currently engaged in research spanning:

• Lunar X-ray spectroscopy

• Speech and audio processing

• Steganography

• Seismology

• Hyperspectral imaging

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Beyond academics, I am an avid quizzer and have represented my college at inter-IIT events. Music—particularly progressive rock, metal, and jazz fusion—is a personal passion, and I remain curious about the whys of life and what it means to be human. 

Life may be too short to explore every idea, but connecting with fellow curious minds makes the journey richer.