Isaac Noble Email and Phone Number

LLM and Multimodal Generation Research- Technical Lead for advanced multimodal media generation research. Responsible for design, implementation, and scaling of the next generation of multimodal generative foundation models.- Designed and implemented a decoder only multimodal transformer network for causal multimodal generation.- Lead data analysis and evaluation efforts for scaling multimodal transformer networks.- Built scalable multimodal parameter efficient training service for rapid deployment of LLMs for internal and external products.

- Worked with multiple early stage start-ups, provided both high level technical direction and led AI focused engineering projects within the organizations.- Researched, implemented and reported on numerous advancements in AI, including successful custom implementations of 3D convolution for video understanding, GAN embeddings for realistic conversations, and NeuroEvolution of deep binary networks for code generation.- Designed and built numerous systems including high performance messaging based on RTPS, multi-object tracking in noisy environments, and a cross platform networked augmented reality game.- Led an initiative in Robotic Process Automation, focusing on leveraging NLP transfer learning and intrinsic motivation to build out an Intelligent Automation platform.

Specialized in Natural Language Understanding Research- Technical Lead for a natural language understanding system integrated into multiple consumer facing Google products.- Led a 5 person team with multiple successful launches in both internal and user facing products, including Google Shopping and Google Cloud Language API.- Led Sentiment Research Team, including data labeling efforts requiring linguistic analysis for millions of text samples, and setting unpublished SOTA results on several sentiment benchmarks. - Researched and implemented machine intelligence systems with state-of-the-art performance on existing academic datasets.

Led Development of Next Generation Consumer Devices- Led a 6 person team in researching, implementing and user testing next generation features for Amazon hardware products.- Researched, designed and implemented a number of core features for the Fire Phone, including gaze tracking, facial recognition, and stereo vision algorithms.- Research resulted in 13 granted patents across computer vision, human computer interaction and NLP.- Supported initial hardware and software implementations, including initiating contact and visiting multiple vendors, labs, and universities.