Lukas Biewald

Co-founded the leading MLOps platform for experiment tracking, model versioning, dataset management, and collaborative AI development. Used by 700+ enterprises including OpenAI, Meta, Samsung, and Spotify. The platform lets ML teams log experiments, visualize model performance, and reproduce results with a few lines of code.

Built the foundational experiment tracking product that lets developers log metrics, hyperparameters, code, and system resources during model training. Became the de facto standard for ML experiment management across research labs and enterprises.

Developed an LLM observability and evaluation platform that traces all LLM calls with a single line of code, provides pre-built scorers, and enables systematic iteration on accuracy, latency, cost, and user experience for generative AI applications. Launched GA in December 2024.

Founded one of the earliest human-in-the-loop ML platforms for crowdsourced data labeling. Pioneered the approach of combining human intelligence with machine learning to create high-quality training datasets. Sold to Appen for $300M in 2019.

Hosts a bi-weekly AI podcast featuring in-depth conversations with industry leaders from NVIDIA, Meta, Google, OpenAI, GitHub, and more. Over 128 episodes published since 2020, serving as a key resource for the ML community.

Open-source machine learning lessons and teaching projects designed for engineers, with over 2,500 GitHub stars. Demonstrates Biewald's commitment to ML education and community building.