Summary
Saurabh Verma is a Staff AI Research Scientist at Meta with over a decade of experience building and productizing large language models, multi-modal generative systems, and integrity/recommendation pipelines. He co-authored the LLAMA3 paper and has driven next-generation LLM work (LLAMA3.1, LLAMA4) while leading teams that operationalize fine-tuning, content understanding, and ML labeling at scale. His background spans industry research labs including Microsoft Turing and Cisco, with applied work in QA systems for Cortana/Bing, graph neural networks, and anomaly detection for network and security products. Holding a PhD in Machine Learning from the University of Minnesota, he combines deep academic rigor with hands-on product impact in Menlo Park, often bridging research advances into production systems that improve content quality and recommendation safety.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Machine Learning - Computer Science , Doctor of Philosophy (Ph.D.) Machine Learning - Computer Science at University of Minnesota
(Hons.) Bachelor of Technology Electronics Engineering, (Hons.) Bachelor of Technology Electronics Engineering at Indian Institute of Technology (Banaras Hindu University), Varanasi