Janaki Vamaraju

Janaki Vamaraju is a senior generative AI architect and scientist at NVIDIA. She is at the forefront of developing generative AI and large language models for enterprise use cases across industry verticals. Her previous roles as an AI research scientist at Meta and Shell Global Research saw her leading AI4Science projects, resulting in academic papers and deployment in large-scale systems. Currently, she is focused on developing domain-adaptive generative AI and RAG algorithms for various applications and clientele, addressing challenges in tech, energy, manufacturing, telecommunications, climate, data center optimization, and sustainability. Janaki holds a Ph.D. in computational sciences and applied math from the University of Texas at Austin.
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Posts by Janaki Vamaraju

Generative AI May 07, 2025

Building Nemotron-CC, A High-Quality Trillion Token Dataset for LLM Pretraining from Common Crawl Using NVIDIA NeMo Curator

Curating high-quality pretraining datasets is critical for enterprise developers aiming to train state-of-the-art large language models (LLMs). To enable... 7 MIN READ
Generative AI Oct 10, 2024

Advanced RAG Techniques for Telco O-RAN Specifications Using NVIDIA NIM Microservices

Mobile communication standards play a crucial role in the telecommunications ecosystem by harmonizing technology protocols to facilitate interoperability... 8 MIN READ
NVIDIA NeMo Curator icon on a purple background.
Generative AI Sep 10, 2024

Streamlining Data Processing for Domain Adaptive Pretraining with NVIDIA NeMo Curator

Domain-adaptive pretraining (DAPT) of large language models (LLMs) is an important step towards building domain-specific models. These models demonstrate... 16 MIN READ