Shreya Gupta is a AI Solutions Architect at NVIDIA, where she partners with cloud providers and enterprise customers to design resilient, scalable training and inference workloads. With deep experience across the ML lifecycle, Shreya helps organizations optimize infrastructure to balance performance, cost, and reliability — from single-GPU prototyping to hyperscale distributed training.

She holds an M.S. in Symbolic Systems from Stanford University with research spanning deep learning, natural language processing, and real-time neural decoding. Previously, Shreya was a founding ML engineer at Lamini AI, building fine-tuning pipelines for large language models used by industry leaders such as AMD, iFit and Instacart. Her background also includes impactful research at Google Translate and Stanford’s Vision and Learning Lab with Prof. Fei-Fei Li, blending theory with hands-on systems work.