Atul is a perception engineer who has worked on various optimization algorithms to accelerate Deep Neural Networks. Atul has also ported DNN models onto various embedded platforms and presented a comparison of these platforms in terms of performance, computation resources, and power requirements. In their previous role at NIO, they also worked on various DNN and Machine Learning workflows to generate optimized, compressed, and accelerated models for deploying optimized Object Detection models in mule vehicles for the L4 program.
Atul has a Master's degree in Computer Science from Rutgers University. Atul also has a B.Tech in Instrumentation and Control from Netaji Subhas Institute of Technology. In addition, they have various certifications from LinkedIn, Raise The Bar, and deeplearning.ai.
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