About
Hi, I’m Govind.
tl;dr - Resume
I am currently a Vice President at Goldman Sachs, working as a Strategist with the Private Credit group within Asset Management Division. I’m based in New York, helping scale Asset Backed Finance and Investment Grade Private Credit. In my spare time you can find me losing at board games to my friends or suffering through a quiz conducted by KQA.
I completed my MS in Computer Science from the University of Wisconsin-Madison in 2023, where I focused on robustness in regression and classification, and high dimensional probability. I initially enrolled in the PhD program but left after completing the research rotation and coursework.
Before grad school, I worked at Goldman Sachs in Bangalore from 2018 to 2021, first as an Analyst and then as an Associate with the Alternative Investments group in the Investment Management Division.
I completed my M.Tech in Computer Science from IIT Kanpur in 2018, where I ranked first in the program with a 10.0 GPA. My thesis was on robust algorithms for regression, published at AISTATS 2019. You can read more about it on my Academics page.
Before that, I worked with the Imaging and Computer Vision team at Siemens Research, Bangalore as both a summer intern (in ’14) and a full-time employee from May ’15 to April ’16. I worked under the supervision of Dr. Amit Kale, on work ranging from implementing an internal machine learning library, an internal organ detection framework, and proposing a variant of a popular graph deformation based vertebral segmentation method in CT images. My mentors there included Parmeet Bhatia, Dr. Uday Kurkure and Prabhu Teja.
I completed my undergraduate studies in 2015, graduating with a BTech from IIT Kanpur, majoring in Aerospace Engineering. During my brief stay for the duration of my BTP, I was affiliated with the Spectral Lab where I worked under the supervision of Prof. T.K. Sengupta. I worked on porting codes used for CFD simulations to CUDA based implementations, and analyzing performance gains.