Adagrad AI
Mayur Kulkarni has extensive work experience in the field of artificial intelligence and machine learning. Mayur is currently serving as the Chief Executive Officer of Adagrad AI, where they design computer vision products with hardware acceleration for various high-profile clients. Prior to this role, Mayur worked at Microsoft Research as a Software Development Engineer specializing in machine learning. Mayur also served as a Course Instructor for a post-graduate program in artificial intelligence and machine learning at the International Institute of Information Technology – Bangalore. Mayur has a background in research, having worked as a Research Scientist at Xoriant, focusing on semi-supervised object detection for leading consultancy and banking clients. Mayur also gained research experience at the Indian Institute of Technology, Bombay, where they designed a Recommender System as part of their work in machine learning. Additionally, Mayur has practical development experience as a Full Stack Developer Intern at Gig It! and as a Management Intern at the Indian Institute of Management, Lucknow. Overall, Mayur has a well-rounded skill set and a demonstrated track record in AI, machine learning, computer vision, and software development.
Mayur Kulkarni pursued their Bachelor's degree in Computer Science from Savitribai Phule Pune University from 2012 to 2016.
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Adagrad AI
Our story began in 2018 when some of us were still in college. While solving some of the world’s most complex design problems during undergrad like self-driving cars and representing India at Hockenheimring, we realized the potential of AI. We went on to quit our jobs at some of the best AI labs in the world like Microsoft Research & Dev, Georgia Tech, and more to do the most meaningful work of our lives. Today, our algorithms run on thousands of cameras across the world empowering organizations to do more harnessing the true capacity of Artificial Intelligence. Our mission is to push the frontiers of what’s possible using Artificial Intelligence using exceptional techniques in GPU programming, Deep Learning, and Mathematics. The name "adagrad" comes from a mathematical optimizer that fundamentally changed the paradigm of Deep Learning introducing adaptive gradients, similar to how we envision changing how industries function through the use of AI.