Gurpreet Hora
Machine Learning Engineer at Columbia University
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolGurpreet Hora is a Machine Learning Engineer and PhD candidate in Civil Engineering at Columbia University with a decade of experience applying scientific ML and generative AI to environmental fluid dynamics and atmospheric science. He combines rigorous mathematical and surrogate modeling skills with hands-on programming in Python, Fortran, and MATLAB to tackle time series, image/video, and physics-informed problems. His internship work at AMD and Ansys and research on tumor-response simulation and seismic isolation show a rare mix of high-performance computing, uncertainty quantification, and applied domain expertise. A graduate of IIT Kanpur and UIUC, he is also interested in Bayesian machine learning and convex optimization, bringing both theoretical depth and practical engineering to interdisciplinary challenges.
10 years of coding experience
3 years of employment as a software developer
B.Tech (Honors), Civil Engineering, B.Tech (Honors), Civil Engineering at IIT BombayDoctor of Philosophy - PhD, Civil Engineering and Engineering Mechanics, Doctor of Philosophy - PhD, Civil Engineering and Engineering Mechanics at Columbia University in the City of New YorkUniversity of Illinois Urbana-Champaign
English, Hindi, Punjabi
Github Skills (65)
formatter10
abaqus10
oop10
qt9
keyboard9
browser9
xcb9
python9
vim9
machine-learning9
autopep89
pre-commit-hook9
xorg9
linux8
deep-learning8
Programming languages (6)
Github contributions (5)
ffs97/ffs97.github.io
Jan 2018 - Mar 2019
Contributions:7 commits, 6 pushes, 1 branch in 1 year 2 months
ffs97/iitk-courses
Sep 2017 - Apr 2019
Contains all the assignments (some solved) for all cse courses and few other courses (Y15)
Contributions:85 commits, 1 PR, 56 pushes in 1 year 7 months
solvedabaquscseoop
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