Mayur Madnani is a Staff Software Engineer with 11 years of experience building scalable backend and data systems, currently focused on ML observability and data quality at JioHotstar. He has led architecture and platform initiatives across streaming and financial services, notably designing the Data Quality platform at JioCinema and driving ML pipeline capabilities at Intuit. Comfortable across microservices, ETL, and large-scale data processing, he consistently prioritizes cost-efficiency, alert precision, and workflow reliability. His academic background in Machine Learning & AI complements a hands-on track record of migrating legacy systems to resilient, production-grade platforms. Based in Bengaluru, he blends deep technical execution with cross-team leadership during high-impact consolidations and cloud migrations. Colleagues would note his specialty in turning ML monitoring challenges into operationally robust solutions.
11 years of coding experience
8 years of employment as a software developer
Postgraduate Degree Machine Learning and Artificial Intelligence, Postgraduate Degree Machine Learning and Artificial Intelligence at International Institute of Information Technology Bangalore
Master's degree Machine Learning & AI, Master's degree Machine Learning & AI at Liverpool John Moores University
Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at MIT Academy of Engineering, Alandi, Pune
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Mayur Madnani - Staff Software Engineer at JioHotstar