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Naresh Rajendra Shah

Naresh Rajendra Shah

Machine Learning Architect

Naresh has over 8 years of development experience in the relatively nascent field of Deep Learning. He has worked with different types of solutions in the Deep Learning space from the days prior to Tensorflow and Pytorch where he used to build Deep Learning models on top of Theano/Caffe as frameworks. He is currently focused on nimble, agile solutions to accelerate value recognition of Generative AI solutions at Grid Dynamics. He has a Bachelor's in Electrical Engineering, BITS-Hyderabad, and a Master's in Business Analytics and Big Data, IE Business School. He has previously worked with different companies across fields like P&G, GE Healthcare, and his own startup, Untangle AI in the Explainable AI Space.

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Futuristic glass hallway
Article The CrowdStrike event: Addressing the mismatch between automated processes gone wrong and manual recovery
Exploring the transformative impact of generative AI in manufacturing
White Paper Exploring the transformative impact of generative AI in manufacturing
Driving business success with generative AI
White Paper Driving business success with generative AI: Techniques for value-driven transformation
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Article How generative AI elevates customer engagement in B2C manufacturing and retail
A book cover with the text: Generative AI in pharma and life sciences: pragmatic applications and outcomes
White Paper Generative AI in pharma and life sciences: Pragmatic applications and outcomes

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    The CrowdStrike event: Addressing the mismatch between automated processes gone wrong and manual recovery

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