Samarth Mishra
Software Engineer at Waymo
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolSamarth Mishra is a software engineer and PhD-trained AI researcher with 12 years of experience specializing in computer vision and deep learning, now based in Mountain View and working at Waymo. His research trajectory spans top labs and internships—including MIT-IBM Watson AI Lab and AWS—culminating in a PhD from Boston University and publications dating back to ESOP and CVPR venues. He blends academic rigor (4.0 MS from Georgia Tech, high honors from IIT Bombay) with production ML experience, having moved models and prototypes into applied settings during internships and industry roles. Notably, his work has explored incremental object learning and discriminative 3D shape representations, emphasizing practical data-generation and weak supervision strategies. Comfortable teaching and mentoring, he has substantial TA experience and a track record of shipping systems as both researcher and engineer.
12 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, GPA : 4.0/4.0, Master of Science - MS, Computer Science, GPA : 4.0/4.0 at Georgia Institute of TechnologyIndian Institute of Technology BombayDelhi Public School - BhilaiDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Boston University
Hindi, Odia, English
Github Skills (80)
efficientnet10
imagenet10
optimizer10
resnet10
hyperparameter-tuning10
mobilenet10
image-classification10
keras10
visual-recognition10
distributed-training9
api9
cnn-classification9
mixnet9
leaderboard9
collaboration9
Programming languages (3)
Github contributions (5)
samarth4149/samarth4149.github.io
Sep 2017 - Nov 2024
Contributions:79 pushes, 2 branches in 7 years 2 months
samarth4149/TimeSformer
Aug 2022 - Mar 2023
The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"
Contributions:195 pushes in 7 months
pytorchunderstandingdeep-learningvideo-understandingneed
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