Summary
Vikas Yadav is a Staff Research Scientist specializing in large language models and robust natural language generation, with nine years of experience building trustworthy QA and conversational systems. He has a PhD focused on complex information retrieval and QA and has driven R&D at ServiceNow, SRA, and Amazon on retrieval-augmented generation, pro-active multi-modal dialogue, and multilingual LLMs. His work spans complex documents (text, tables, images) and proactive NLG that anticipates user needs—efforts that bridge research publications and production-facing solutions. Based in Mountain View, he blends deep academic rigor (multiple first-author conference papers) with applied impact across industry teams, often contributing as a secondary collaborator on multilingual projects. Notably, he focuses on making LLM systems explainable and reliable for real-world, conversational deployments.
9 years of coding experience
6 years of employment as a software developer
The University of Arizona
Bachelor’s Degree Computer Engineering, Bachelor’s Degree Computer Engineering at Visvesvaraya National Institute of Technology
English, Hindi