cv

Master of Science (M.Sc.)

BITS Pilani

Biological Sciences

Bachelor of Engineering (B.E.) (Hons.)

BITS Pilani

Computer Science

Research Scholar

LASR Labs

Studied how LLMs encode character-level information using sparse autoencoders.

• Investigated interpretable latents using SAEs
• Discovered 'feature absorption' phenomenon
• Published paper and blog post

Research Intern

Microsoft Research India

Studied mechanisms behind jailbreaks in LLMs and harmful concept emergence post-training.

Research Engineer

Max Planck Institute for Biological Cybernetics

Modeled brain activity and visual focus from image stimuli using deep learning.

Graduate Thesis Researcher

Allen Institute for Brain Science

Simulated neuron firing using deep learning with partial observations.

Undergraduate Thesis Researcher

EPFL

Applied ML to mouse physiological data to study aging.

Software Engineering Intern

ServiceNow

Built GraphQL-based ML deployment automation tools in cloud environments.

Research Scholar

Neuromatch Academy

Analyzed fMRI data using MVPA and GLM on HCP datasets.

A Sober Look at Progress in Language Model Reasoning

A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders

Shared neural activity patterns between facial expression and shape recognition