Mayur Relekar is a seasoned technology leader and AI practitioner with extensive experience in building and scaling machine learning systems and data-driven products. He has a strong background in software engineering, artificial intelligence, machine learning, and deep learning, with a focus on applying these technologies to solve complex real-world problems. Mayur is known for his expertise in areas such as Natural Language Processing (NLP), recommendation systems, computer vision, and MLOps. He has a proven track record of leading engineering teams, driving innovation, and delivering impactful solutions in various domains. He is passionate about fostering a culture of learning and collaboration, and actively contributes to the tech community through writing and speaking engagements.
Mayur Relekar's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully architected and led the development of multiple large-scale AI and Machine Learning platforms, enabling rapid experimentation, model deployment, and serving millions of users with high availability and low latency.
Pioneered and implemented novel NLP techniques for tasks such as sentiment analysis, text summarization, and information extraction, significantly improving product capabilities and user engagement.
Actively contributed to and maintained popular open-source libraries and frameworks in the AI/ML space, fostering community growth and enabling wider adoption of cutting-edge technologies.
Authored several research papers and filed patents related to advancements in machine learning algorithms and their applications, contributing to the broader knowledge base of the AI field.
Frequently invited to speak at national and international technology conferences and industry events, sharing insights on AI, machine learning best practices, and future trends.
Visvesvaraya Technological University - Year 2001
Hyderabad Public - Year 1989
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Arcana Network is a Web3 infrastructure provider offering a decentralized storage and identity platform. It provides developers with a suite of SDKs to easily integrate features like social logins, non-custodial wallets, DID (Decentralized Identity), and encrypted storage into their dApps (decentralized applications), aiming to simplify user onboarding and enhance data privacy in the Web3 ecosystem. Their goal is to make Web3 more accessible and user-friendly for both developers and end-users.
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