Aneil Rakity
London Area, United Kingdom,United Kingdom
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Aneil Rakity is a distinguished leader in the field of Artificial Intelligence and Machine Learning, currently serving as the Head of AI/ML Engineering at Rippling. In this role, he is responsible for driving the AI strategy and development, building intelligent features to enhance Rippling's all-in-one HR, IT, and Finance platform. Prior to Rippling, Aneil spent over five years at Google as a Staff Software Engineer, where he made significant contributions to various machine learning projects, focusing on developing and scaling ML models and infrastructure. His earlier experience includes a tenure at Amazon as a Software Development Engineer, where he honed his skills in building robust and scalable software solutions. Aneil possesses deep expertise in ML model development, MLOps, AI product strategy, and leading high-impact engineering teams. He is passionate about applying AI to solve complex business problems and create innovative products.
Professional Summary
Aneil Rakity's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Head of AI/ML Engineering at Rippling
Leading the development and implementation of artificial intelligence and machine learning initiatives across Rippling's platform, aiming to deliver smarter and more efficient solutions for businesses.
Staff Software Engineer, ML at Google
Played a key role in developing and deploying machine learning models and systems at Google, contributing to advancements in large-scale AI applications and infrastructure.
Scaled Machine Learning Solutions
Demonstrated expertise in scaling machine learning solutions from research to production, impacting millions of users and driving significant product improvements in previous roles.
Foundation in Large-Scale Software Systems
Built a strong foundation in software engineering at Amazon, working on complex, large-scale distributed systems, which has been instrumental in his AI/ML leadership.
Educational Background
MBA
The Wharton School - Year 1999
BS, Business Administration
University of California, Berkeley - Year 1991
Modern History, Economics and Law (Visiting Student)
University of Oxford - Year 1993
Lycee International - Year 1988
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Company Overview
proSapientproSapient is a primary research platform that connects institutional investors, consultants, and corporate clients with industry experts. They leverage AI-powered tools and a global network of specialists (Advisors) to provide rapid, high-quality insights for investment and business decisions. The platform facilitates expert interviews, surveys, and data-driven intelligence, streamlining the process of acquiring specialized knowledge.
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