Krishna Wadhwani is an engineer-turned-operator and current Booth MBA candidate with nine years of experience building AI products, leading digitization efforts, and launching businesses across Japan and India. Trained in aerospace engineering at IIT Bombay, he developed memory-efficient deep learning models at Sony that powered VR and 3D reconstruction use cases and contributed to open-source scientific visualization documentation. As a founder and later product leader, he digitized cold storage and restaurant operations—designing an AI chatbot, management software, and farmer credit innovations that drove measurable financial and sustainability impact. At Mahesh Cold Storage he enabled a first-of-its-kind credit line for farmers, reduced operating costs through solar and automation, and directly increased topline and customer satisfaction through product-led initiatives. Now exploring VC and product roles at the intersection of AI, consumer tech, and supply chains, he pairs hands-on ML engineering with commercial strategy and community-focused outcomes. He’s pragmatic about deploying technology to solve real-world supply-chain frictions and is actively looking for startup collaborations that blend AI with tangible social impact.
9 years of coding experience
5 years of employment as a software developer
Master of Business Administration - MBA, Master of Business Administration - MBA at The University of Chicago Booth School of Business
Contributions:8 commits, 4 PRs, 5 comments in 17 days
Contributions summary:Krishna primarily focused on updating and expanding the Mayavi project's documentation, specifically the installation guide. The contributions include detailed instructions on installing Mayavi using Enthought Deployment Manager (EDM), Conda, and Conda-forge. They also added links and clarified instructions to help users with different operating systems and Python versions, improving the accessibility and usability of the documentation.
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Krishna Wadhwani - Sr Product Manager Technical - Intern at Amazon