James Liounis is an accomplished technology professional specializing in artificial intelligence and machine learning, currently serving as a Member of Technical Staff at Perplexity since March 2025, focusing on customer relations for the Sonar API. Previously, at Quotient AI, James worked as a Forward Deployed AI Engineer, collaborating with customers to design tailored AI solutions. As an Artificial Intelligence Engineer at The World Bank, James led a significant generative AI initiative, securing a $20,000 grant to develop an innovative drought-monitoring solution. James's tenure at Amazon Web Services included roles as a Business Development Lead and Intern, where James achieved over 200 closed deals and advanced the implementation of AI solutions for startups. Educational credentials include a Master of Science in Data Science from Harvard University and relevant coursework at institutions such as MIT and UCL, showcasing a strong foundation in both technical and analytical skills.
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