Sushant Kafle is a Staff Software Engineer with 12 years of experience blending applied research and production engineering in NLP, HCI, and human-centered learning. He is completing a Ph.D. at RIT’s Golisano College while holding staff roles at Google and Google DeepMind, where he translates computational-linguistics research into scalable systems. His background as an RIT research assistant and Google Ph.D. intern grounds his engineering in rigorous experimentation and user-centered evaluation. Sushant bridges academia and industry, shipping ML-driven features at scale while pursuing novel research directions. Based in Rochester, NY, he brings deep expertise in human-computer interaction that informs practical, user-aware AI solutions. He is known for pairing academic rigor with pragmatic engineering to move prototypes into production.
12 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computing and Information Science, Doctor of Philosophy (Ph.D.) Computing and Information Science at Rochester Institute of Technology
Bachelor of Engineering (BEng) Computer Engineering, Bachelor of Engineering (BEng) Computer Engineering at Pulchowk Engineering Campus
This project demonstrates the use of generic bi-directional LSTM models for predicting importance of words in a spoken dialgoue for understanding its meaning. The model operates on human-annotated corpus of word importance for its training and evaluation. The corpus can be downloaded from: http://latlab.ist.rit.edu/lrec2018
Contributions:2 commits, 1 PR, 9 pushes in 2 years 2 months
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Sushant Kafle - Staff Software Engineer at Google DeepMind