Anjali Shah

Anjali Shah is a senior deep learning scientist at NVIDIA within the Developer Advocate Engineering group helping clients build generative AI solutions. Early in her career, as a software engineer, she built mission-critical platforms for the world's leading financial services firms. She then spent several years in the healthcare sector, architecting and implementing large scale healthcare (EHR) systems. Before joining NVIDIA, she spent several years at a leading tech company, working across different industries helping clients build innovative data and AI solutions. She has a Ph.D. in biomedical informatics and applied statistics and an M.S. and B.S. in computer science and engineering.
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Posts by Anjali Shah

Four images of products against enhanced backgrounds.
Data Center / Cloud

Generate Stunning Images with Stable Diffusion XL on the NVIDIA AI Inference Platform

Diffusion models are transforming creative workflows across industries. These models generate stunning images based on simple text or image inputs by... 14 MIN READ
An illustration representing LLM optimization.
Generative AI / LLMs

NVIDIA TensorRT-LLM Revs Up Inference for Google Gemma 

NVIDIA is collaborating as a launch partner with Google in delivering Gemma, a newly optimized family of open models built from the same research and technology... 4 MIN READ
Generative AI / LLMs

Mastering LLM Techniques: Training 

Large language models (LLMs) are a class of generative AI models built using transformer networks that can recognize, summarize, translate, predict, and... 15 MIN READ
Decorative image.
Conversational AI

Mastering LLM Techniques: Customization

Large language models (LLMs) are becoming an integral tool for businesses to improve their operations, customer interactions, and decision-making processes.... 12 MIN READ