Shikhar Gupta
Senior Applied Scientist at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolShikhar Gupta is a Senior Applied Scientist based in Seattle with a decade of experience applying machine learning to production problems at Amazon. He brings deep expertise in applied ML and computer vision—from building automated pathology detection systems with ResNet/VGG and custom PyTorch CNNs to improving forecasting and decision-support tools in retail and healthcare. At Amazon he has progressed through multiple applied scientist roles into senior technical positions, shipping models and data products at scale. His open-source work includes a pure-Python spiking neural network implementation, reflecting an interest in biologically inspired models and low-level ML tooling beyond typical engineering stacks. Trained with an MS in Data Science and an IIT Roorkee engineering background, he combines strong research curiosity with pragmatic product delivery.
10 years of coding experience
8 years of employment as a software developer
Indian Institute of Technology RoorkeeMS Data Science, MS Data Science at University of San Francisco
English, Hindi
Github Skills (5)
neural-network10
spiking-neural-networks10
python10
numpy9
machine-learning8
Programming languages (4)
Github contributions (5)
Shikhargupta/Spiking-Neural-Network
Sep 2016 - Dec 2018
Pure python implementation of SNN
Role in this project:
ML Engineer
ML EngineerContributions:84 commits, 3 PRs, 78 pushes in 2 years 4 months
Contributions summary:Shikhar primarily contributed to the implementation of a spiking neural network (SNN) in Python. They developed core components like neuron and synapse models, implemented a receptive field, and built spike train encoding and decoding mechanisms. Their work includes the creation of a classification system using the SNN, demonstrating a focus on applying SNN principles to a machine learning task.
spiking-neural-networksneurosciencepythonneuromorphic-hardwarepython-implementation
Shikhargupta/vision-based-autonomous-UAV
Sep 2016 - May 2017
Contributions:21 commits, 20 pushes, 1 branch in 8 months
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