Aman Roy is a Software Engineer 2 at Uber with eight years of experience building privacy and legal products, primarily focused on mobile and backend development. He combines production engineering with research roots in graph neural networks—co-authoring a peer-reviewed paper—and now applies that analytical mindset to orchestration of multi-agent LLM systems for end-to-end privacy features. His background spans fast-paced product teams at VerSe and internships in recommender systems and NLP, giving him a solid mix of systems, ML, and applied data science. Based in Delhi, he brings a physics-influenced analytical approach (per his GitHub note) to practical, privacy-forward engineering problems and prefers solutions that balance performance with auditable safety.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech Computer, Bachelor of Technology - BTech Computer at Indraprastha Institute of Information Technology, Delhi
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