Relational Boosted Bandits
A contextual bandits algorithm for relational domains based on relational boosted trees, enabling interpretable and explainable models for link prediction, relational classification, and recommendation.
Senior Machine Learning Scientist · GoDaddy Ashutosh
Ashutosh
Kakadiya
Building Generative AI products and dynamic pricing systems for millions of entrepreneurs.
I work at the intersection of machine learning research and large-scale products — reinforcement learning, deep learning, and generative AI applied to real problems in personalization, finance, and automation.
Available for research collaborations
Currently
Senior Machine Learning Scientist at GoDaddy. Work on dynamic pricing and build Generative AI products for millions of entrepreneurs to fuel their business growth and productivity.
News
Recent updates
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Invited as a guest speaker at Ahmedabad University to deliver “Charting a Path: Navigating the AI and Machine Learning Landscape”. Slides.
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Joined GoDaddy AI as a Senior Machine Learning Scientist.
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Joined Amazon Science as a Machine Learning Scientist.
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Presented “Relational Boosted Bandits” (AAAI’21) at the 9th RBCDSAI workshop on Recent Progress in Data Science and AI. Recorded talk.
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“Relational Boosted Bandits” accepted as a full paper at AAAI 2021. Pre-print.
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Selected for the Google AI Summer School — one of 150 recipients among thousands of applicants.
Selected work
Publications
A few papers I'm proud of — the full list lives on the publications page.
A Service-Oriented Human Capital Management Recommendation Platform
A stateless, scalable, micro-service-based architecture that pushes towards automation of Human Capital Management through ML- and statistics-driven recommendation of jobs and candidates.