Automating Data Annotation with LLMs // LLMs in Production Conference 3 Workshop1

PhD in Computer Science, AI expert with a history in industrial-strength machine learning, including large-scale Conversational AI development. Currently, as the CTO of HumanSignal, spearheading technological evolution and charts strategic tech directions. Research is anchored in Data-centric AI, programmatic labeling, weak supervision, zero/few-shot learning, and exploring Large Language and other Foundation model applications.

Michael is an engineer turned entrepreneur with a great passion for AI systems. Currently, he works at HumanSignal. At HumanSignal, they aim to help companies transform into AI-powered enterprises by capturing and utilizing human signals to build, refine, and validate models. They strive to automate as many steps as possible, allowing human expertise to focus solely on tasks that add unique value to the models. They're creating a system that facilitates data discovery, knowledge encoding, model supervision, and business automation.

Chris Hoge is the Head of Community for HumanSignal, helping to grow the Label Studio community. He has spent over a decade working in open source machine learning and infrastructure communities, including Apache TVM, Kubernetes, and OpenStack. He has an M.S. in Applied Mathematics from the University of Colorado, where he studied numerical methods for simulating physical systems. He makes his home in the Pacific Northwest, where he spends his free time trail running and playing piano.

Data Science Leader with 15 years of experience in the field of AI. Passionate about building products that are not just innovative and AI focused, but also customer-centric. Having lead and being part of various AI/engineering teams over the years in some of the best organizations; I'm a strong advocate for velocity while also following high-standard engineering best practices. Recently I've found myself completely immersed in Generative AI. With the rapid pace of development in the field, I am excited about the potential it holds. Always open to connecting with professionals who share a similar passion for AI and Data Science.