Gaurav Sharma

Managing Director @ Atlantis Capital

About Gaurav Sharma

Gaurav Sharma is the Founder & CEO of Atlantis Tech and Managing Director of Atlantis Capital, with extensive experience in FinTech, AI, and business management across Asia.

Work at Atlantis Capital

Gaurav Sharma serves as the Managing Director at Atlantis Capital, a position he has held since 2016. His role involves overseeing operations across multiple regions, including Hong Kong, India, Singapore, Thailand, Malaysia, and China. Under his leadership, the company focuses on investment strategies and financial services, leveraging his extensive experience in the financial sector.

Current Role at Atlantis Tech

As the Founder and CEO of Atlantis Tech, Gaurav Sharma has been instrumental in shaping the company's vision since its inception in 2019. The company operates in Singapore and Bangalore, focusing on technology-driven solutions in various sectors. His leadership emphasizes innovation and strategic growth in the tech landscape.

Professional Background

Gaurav Sharma has a diverse professional background with significant experience in the financial technology sector. He has held various leadership roles, including Founder and CTO at JadeWater, and CTO & COO at Frontier Capital Ltd. His career spans multiple countries and sectors, showcasing his ability to adapt and thrive in different environments.

Education and Expertise

Gaurav Sharma earned a Bachelor's degree with Honors in Computer Applications, Technology, Business Management, Economics, and Financial Accounting from Sri Venkateswara College, Delhi University, from 1997 to 2000. His educational background supports his expertise in building ventures across FinTech, Mobile, and Consumer Finance sectors.

Thought Leadership and Interests

Gaurav Sharma is an active thought leader in the fields of FinTech, Banking, AI, and Blockchain. He regularly writes and speaks on these topics, sharing insights on entrepreneurship and product development. His interests also include biologically inspired computing, focusing on evolutionary computation and artificial neural networks.

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