Krutrim
Praveen Hegde is a Senior Machine Learning Scientist at Wayfair since June 2024, focusing on building customer knowledge bases, personalization models, and large language models (LLMs). Prior to this role, Praveen held multiple positions at LinkedIn from August 2018 to February 2024, culminating in the role of Staff Applied Research Engineer, where responsibilities included developing AI models for content quality in LinkedIn feeds and fine-tuning LLMs for content moderation tasks. Praveen also contributed to AI research at Amelia as a Research Engineer in machine learning and natural language processing from November 2016 to July 2018, and worked as a Software Development Engineer at Amazon briefly in 2016. Initial experience includes serving as a Software Developer in algorithmic trading at iRage Capital Advisory. Praveen received a Master of Technology in Computer Science from the Indian Institute of Technology, Kanpur, and a Bachelor of Technology in Computer Science from RV College of Engineering.
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Krutrim
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Building AI computing for the future. Krutrim, a part of the Ola group, is working on creating the AI computing stack of the future. We endeavor to deliver a state-of-the-art AI computing stack that encompasses the AI computing infrastructure, AI Cloud, foundational models, and AI-powered end applications for the Indian market. Our envisioned AI computing stack can empower consumers, startups, enterprises and scientists across India and the world to build their end AI applications or AI models. While we are building foundational models across text, voice, and vision relevant to our focus markets, we are also developing AI training and inference platforms that enable AI research and development across industry domains. The platforms being built by Krutrim have the potential to impact millions of lives in India, across income and education strata, and across languages. The team at Krutrim represents a convergence of talent across AI research, Applied AI, Cloud Engineering, and semiconductor design. Our teams operate from three locations: Bangalore, Singapore & San Francisco.