Christian Laforte is a Distinguished Engineer at NVIDIA with over a decade of experience building mission-critical, real-time ML systems and leading R&D in Generative AI for media, games, 3D, speech and computer vision. A two-time founder and former CTO/Interim Co-CEO of Stability AI, he has repeatedly moved teams from prototype to product while negotiating major partnerships and rescuing companies through intense operational turnarounds. His technical accomplishments span state-of-the-art image-to-3D and text-to-3D work (contributing to projects like Stable DreamFusion and ThreeStudio) and GPU-focused ML optimizations that delivered orders-of-magnitude speedups. Comfortable switching between hands-on engineering and executive decision-making, he blends deep graphics and driver experience (Autodesk, AMD) with modern ML research and open-source collaboration. Notably, he has driven practical advances in dataset generation and training efficiency that yielded 10x+ speedups for 3D pipelines and helped ship high-impact open LLMs and multimodal models. Based in Markham, Ontario, he pairs entrepreneurial grit with an unusually broad technical scope across hardware, software and product.
10 years of coding experience
25 years of employment as a software developer
Bachelor of Engineering (B.Eng.) Software Engineering, Bachelor of Engineering (B.Eng.) Software Engineering at École Polytechnique de Montréal
High School, High School at Ecole Secondaire Vaudreuil
Contributions:34 reviews, 26 PRs, 34 pushes in 7 months
Contributions summary:Christian primarily contributes to integrating and utilizing Weights & Biases (WandB) for experiment tracking and visualization within the 3D content generation framework. Their commits demonstrate the addition of WandB logging functionalities, enabling the saving and display of images and videos, along with the tracking of training metrics and parameters. They also modify existing code to support gradient accumulation and manage the training and evaluation steps.
Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.
Role in this project:
ML Engineer
Contributions:22 reviews, 19 PRs, 11 pushes in 6 months
Contributions summary:Christian primarily contributed to the model training and debugging process within the text-to-3D and image-to-3D framework. Their work includes implementing features such as saving guidance images for debugging, which is specific to the Stable Diffusion model. Further, they modified the training process, incorporated save guidance features, and added experimental features such as progressive view.
pytorchdeep-learningguinerfdiffusion
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.