Qloo
Shubham Pawar is an experienced professional in machine learning and data science, currently serving as the LLM Research Lead at Qloo since September 2024. Prior to this, Shubham held various roles at Cyndx, including Senior ML Research Engineer, ML Research Engineer, and AI Pipeline Engineer from June 2019 to September 2024. Shubham's career also includes a position as an Independent Consultant Data Scientist at Phocus Technologies, an NLP Data Science Intern at Tempus, Inc., and roles in academia as a Graduate Teaching Assistant and Graduate Research Assistant at the University of North Carolina at Charlotte. Shubham began a career at Accenture as an Application Development Analyst, focusing on ETL development. Academic qualifications include a Master of Science in Computer Science from the University of North Carolina at Charlotte and a Bachelor of Engineering in Computer Engineering from Savitribai Phule Pune University.
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Qloo
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The Cultural AI. Qloo has developed cutting-edge machine learning processes and AI algorithms to predict taste for any target audience and map relationships within and between cultural domains, including: Music, Film, TV, Dining, Nightlife, Fashion, Books, Travel and Tech. Qloo has mapped more than a quarter-trillion cultural correlations, and makes this intelligence readily available to individuals, developers, and leading brands. Qloo's cultural AI is currently powering personalization and informing key decisions for market leaders in tech, financial services, entertainment, automotive, fashion, CPG and hospitality. Qloo is headquartered and lovingly built in NYC.