Josh Ross is a distinguished entrepreneur and technologist, widely recognized as the Co-founder and CEO of Humanloop. Humanloop is an innovative platform designed to help developers build more reliable and effective applications on top of large language models (LLMs) through better evaluation, fine-tuning, and data labeling. With a strong background in machine learning, including research at the University of Cambridge, Josh is passionate about bridging the gap between the cutting-edge capabilities of AI and practical, real-world applications. He focuses on creating tools that empower developers and product teams to iterate faster and build superior AI-driven products. Josh is a vocal advocate for responsible AI development and improving human-AI collaboration.
Josh Ross's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully co-founded and leads Humanloop, a venture-backed company that provides critical infrastructure for building applications with large language models. Humanloop has gained significant traction by addressing key challenges in LLM deployment, such as model evaluation, fine-tuning, and prompt engineering.
Instrumental in developing and popularizing tools and methodologies that enable developers to systematically evaluate, debug, and improve LLM-powered applications, contributing to more robust and trustworthy AI systems.
Frequently shares insights on the practical application of AI, particularly LLMs, through talks, podcasts, and articles, helping to educate the tech community on best practices for building with generative AI and fostering human-in-the-loop systems.
Through Humanloop's product philosophy and his public discourse, Josh actively promotes approaches that enhance collaboration between humans and AI, ensuring AI systems are aligned with human goals and values.
Gonzaga University - Year 2003
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