Ajay Narayanan is a Senior Data Scientist with eight years’ experience applying machine learning and reinforcement learning to smart mobility and sustainability challenges across industry and research settings. Currently at Bosch Mobility Platforms & Solutions and pursuing an MS in Computer Science at UT Austin, he builds scalable AI-driven systems to optimize EV charging ecosystems and broader mobility platforms. His background spans applied R&D at TCS Research & Innovation, hands-on product engineering in Java, and research on solar energy at Reliance, giving him a rare blend of prototyping, productionization, and domain expertise in electro-mobility. Known for bridging theory and practice, he often leads end-to-end projects from cyber-physical modeling to deployed control strategies that maximize real-world asset utilization.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at Amrita Vishwa Vidyapeetham
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at The University of Texas at Austin
An end-to-end VQA system implemented using the Keras framework.Visual Question Answering (VQA) is one such challenge which requires high-level scene interpretation from images combined with language modelling of relevant Q&A. Given an image and a natural language question about the image, the task is to provide an accurate natural language answer. This is an implementation of the model proposed by the original VQA paper by Agrawal et. al.
Contributions:1 PR, 13 pushes, 1 branch in 3 months
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