About Me

I am currently working as a Quantitative Strategist at Goldman Sachs with main focus in leveraging data and machine learning for equity research.

Previously, I finished my Ph.D. Candidate in Electrical and Computer Engineering at Georgia Institute of Technology. During my doctoral research, I worked with Dr. Raghupathy Sivakumar at the intersection of Brain-Computer Interfaces, and Human-Assisted Machine Learning.

I finished my Bachelors from Indian Institute of Technology Kanpur in May 2014.

With the mindset of creating a difference in tech industry, I spend my leisure time reading articles on futuristic technology, contemplating over the lag between current state-of-the-art techniques and next generation technological requirements.


Georgia Institute of Technology
MS and PhD in Electrical and Computer Engineering
Minor in Computer Science
Aug'14 - Dec'20
Indian Institute of Technology Kanpur
Bachelors in Electrical Engineering
July'10 - Aug'14


Goldman Sachs
Data Science, Machine Learning, Financial Research
Feb'21 - Present
Wireless Software Engineering
Lawrence Livermore National Laboratory
High Dimenstional Data Analysis
Deep Learning in Video Data
Syracuse University
Bayesian Sampling in Wireless Communication