2026
AI & Machine Learning Judging Panel
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Rigved Kulkarni |
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Rigved Kulkarni is a robotics and AI engineer specializing in autonomous vehicle perception, automation, and system integration. At PlusAI, he leads advancements in multi-sensor fusion and real-time decision-making systems that enhance safety and reliability in self-driving technology. His previous roles at Lucid Motors and Aptiv showcased his ability to merge research-driven innovation with practical engineering, improving automation efficiency and algorithmic precision. With a strong academic foundation in robotics from the University of Maryland, Kulkarni consistently demonstrates technical excellence, innovation, and leadership—qualities that define his contributions to shaping the future of intelligent mobility and next-generation transportation systems. |
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Raza Khoso |
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Raza Hussain Khoso is a distinguished Gold and Silver Medallist from leading Asian business schools, recognized for academic excellence and strategic leadership. An entrepreneur specializing in AI, business strategy, entrepreneurship, and digital marketing, he leads an AI consulting startup offering AI-powered websites, e-commerce solutions, mobile apps, and intelligent system integration. His experience includes roles at the University of Missouri-Kansas City, Pakistan State Oil, and Hascol Petroleum, as well as developing AI-driven data dashboards for Karachi Event Fusion and ExpertLogic (SMC-Private) Limited. With expertise in analytics, AI tools, and cross-sector innovation, Raza brings strong business insight and technological capability to evaluating industry excellence. |
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Simran Arora |
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Simran Arora is a senior product manager at Instagram AI, specializing in scaling recommendation systems and advancing machine learning infrastructure to deliver high-quality content to millions of users. She spent over four years at Microsoft managing Azure Machine Learning products, focusing on cost management, billing, and quota planning while overseeing retrieval-augmented generation and large language model playground experiences. Her background includes financial analysis from Goldman Sachs’ investment banking division and early AI implementation work at Siemens Technology India. She earned a Bachelor of Science in Computer Science-Economics from Brown University, where she mentored women pursuing careers in science, technology, engineering, and mathematics and served as a computer science lab consultant. |
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Mandar Parab |
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Mandar Parab is a machine learning engineer with over a decade of experience developing artificial intelligence solutions across technology, healthcare, and automotive sectors. He has architected production-level systems serving millions of users, including recommendation engines at Epic for Kids, demand forecasting models at Levi Strauss & Co., and autonomous vehicle simulation frameworks at NIO. His technical expertise includes supervised learning, deep learning, computer vision, natural language processing, and text-to-speech systems. Parab has successfully implemented scalable ML infrastructure using cloud platforms, automated pipelines, and knowledge graphs while conducting medical imaging research at Penn State University. His work consistently bridges theoretical concepts with practical business applications across multiple industries. |
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Narendra Maddukuri |
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Narendra Maddukuri is a Senior Development Engineer and Enterprise Solutions Architect with over a decade of experience designing and deploying Pega-based business process automation solutions across healthcare, government, and financial services. He has held technical leadership roles at organizations including Centene Corporation, Cigna Insurance Services, the California Department of Public Health, and BNY Mellon, delivering workflow optimization, case management systems, and robotic process automation in high-accountability environments. He holds four active Pegasystems certifications covering system architecture, robotics, and AI-driven decisioning. His cross-sector experience and proven ability to evaluate complex technical requirements against real institutional needs make him a credible and well-qualified assessor of professional innovation. |
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