Summary
Robert Giaquinto is a Principal AI Research Scientist at Autodesk AI Lab with 11 years of experience building large multimodal foundation models that bridge text, images, and 3D for the AEC industry. Previously at AWS AI Labs he led applied research on LLMs and pretraining strategies for code, text, and structured data powering Amazon Q Developer and Bedrock services. He holds a Ph.D. in Computer Science from the University of Minnesota, where his work on deep generative models and approximate inference informed later efforts in retrieval, contrastive learning, and continual learning. Robert combines rigorous academic training with hands-on production scaling—designing tokenizers, multi-task training regimes, and distributed transformer training pipelines. Based in Los Angeles, he brings a rare focus on bringing foundation models into spatial and construction contexts, translating cutting-edge ML techniques into practical tools for 3D workflows.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Minnesota
B.A. Mathematics Statistics, B.A. Mathematics Statistics at St. Olaf College