Priyank Pathak
PHD Candidate
Orlando, Florida, United States
Summary
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Senior🎓
Top SchoolPriyank Pathak is an applied scientist with 9 years of experience at the intersection of computer vision and machine learning, currently pursuing PhD research at UCF while interning at Amazon. His work spans person re-identification, distribution shift, test-time training, and medical synthetic datasets with publications at ICCV, BMVC and ICLR, and a patent filing tied to real-world deployment challenges. He has industrial research experience at Clarifai and Amobee where he built large-scale ML pipelines and a Scala-based sandbox for bid-recommendation on 50M daily records. A versatile educator and researcher, he has graded and assisted courses under leading faculty (including Yann LeCun and Rob Fergus) and contributed across NLP, robotics, and audio VAE projects. Trained at IIT Kanpur and NYU, and affiliated with NUS and Stony Brook, Priyank combines strong academic rigor with hands-on production engineering and a habit of distilling complex vision problems into practical systems. An under-the-radar strength is his cross-domain fluency—from cryptographic eSign proofs to high-performance GPU workflows—which helps him bridge research and product needs.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Stony Brook UniversityMaster of Science - MS Computer Science (Machine Learning), Master of Science - MS Computer Science (Machine Learning) at New York UniversityBachelor's degree Electrical Engineering and Computer Science, Bachelor's degree Electrical Engineering and Computer Science at Indian Institute of Technology KanpurDoctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at University of Central Florida
Stackoverflow
474reputation
15kreached
15answers
7questions
Github Skills (80)
python10
coreference-resolution10
deep-learning10
gpu10
gpu-acceleration10
loss-functions10
numpy10
neural-network10
tensor10
attention-model10
machine-learning10
object-detection9
faster-rcnn9
pytorch9
autograd9
Programming languages (6)
Github contributions (5)
ppriyank/-Online-Soft-Mining-and-Class-Aware-Attention-Pytorch
Jul 2019 - Oct 2019
(Pytorch and Tensorflow) Implementation of Weighted Contrastive Loss (Deep Metric Learning by Online Soft Mining and Class-Aware Attention)
Contributions:34 commits, 33 pushes, 1 branch in 2 months
metric-learningpytorchtensorflowonline-soft-miningdeep-metric-learning
ppriyank/ppriyank.github.io
Oct 2016 - Apr 2026
Contributions:128 pushes, 1 branch in 9 years 8 months
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