Keshigeyan Chandrasegaran
PhD Candidate
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolKeshigeyan Chandrasegaran is a third-year Computer Science PhD candidate at Stanford University advised by Fei-Fei Li and Juan Carlos Niebles, focusing on computer vision and machine learning with eight years of industry and research experience. He has applied vision systems to real-time robotics and synthetic data pipelines in startup capstones, researched IoT and sentiment-driven financial models at SUTD, and contributed as a researcher at Liquid AI and Radical Numerics. Comfortable bridging academia and product, he has built end-to-end stacks from smart contracts to DApps and deployed ML prototypes in production-like settings. Based in Palo Alto, he combines rigorous research training with hands-on engineering, and his background in entrepreneurship programs and international study hints at a pragmatic, globally minded approach to turning ML research into deployable systems.
8 years of coding experience
6 years of employment as a software developer
Lean LaunchPad Programme SUTD, Entrepreneurship/Entrepreneurial Studies, Lean LaunchPad Programme SUTD, Entrepreneurship/Entrepreneurial Studies at National University of SingaporeBachelor of Engineering - BE Honours, Information Systems Technology and Design, Summa Cum Laude, Bachelor of Engineering - BE Honours, Information Systems Technology and Design, Summa Cum Laude at Singapore University of Technology and Design (SUTD)Summer University, Business Analytics, Summer University, Business Analytics at Technische Universität BerlinDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
English, Tamil
Github Skills (46)
image-retrieval10
stargan10
dcgan9
fourier-transform9
pytorch9
webdataset9
pytorch-lightning9
video-language9
generative-model8
classification8
reasoning8
self-attention8
summarization8
cifar1007
image-classification7
Programming languages (4)
Github contributions (5)
keshik6/pascal-voc-classification
Mar 2019 - Apr 2019
PASCAL VOC Object Classification: The goal of this project is to recognize objects from a number of visual object classes in realistic scenes.
Contributions:34 commits, 3 pushes in 26 days
classificationimage-classificationpascal-vocdeep-neural-networkspytorch
keshik6/KITTI-2d-object-detection
Apr 2019 - May 2019
Contributions:84 commits, 20 pushes, 1 branch in 21 days
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