Microsoft Research
Pre-Doctoral Research Fellow
Part of the Systems Group, where I work on efficient LLM inference. My research includes exploring new architectures for LLMs and developing self-speculative decoding techniques to improve inference speed and compute efficiency.
Salesforce
Software Engineer
Contributed to the launch of Salesforce Data Cloud, a unified customer data platform. Built data pipelines and analytics tools to help enterprises manage customer data at scale.
Apple R&D
Research Intern (Machine Learning)
Developed and deployed ML models to classify and filter spam across Apple's messaging platforms, including iMessage and Mail. These features are integrated into current products, being used by millions of users worldwide.
Google Summer of Code
Open Source Contributor (Student Developer)
Worked with the open-source Apertium project to build machine translation models for Indian languages.
Institute of Genomics and Integrative Biology (CSIR)
Research Intern (Machine Learning)
Conducted analysis on COVID-19 risk stratification and mortality prediction in Indian hospital patients by modeling demographic, clinical, and comorbidity factors.
Indian School of Business
Research Intern (Machine Learning)
Developed models to predict Non-Performing Assets (NPA) using prior years’ asset data with Linear Regression and feature selection.
BITS Pilani
B.E. in Computer Science Engineering
Bachelor’s degree in Computer Science Engineering with a Minor in Data Science.