I'm an engineer and researcher aiming to create autonomous machines and study how they may benefit us. Currently, I'm leading machine learning efforts at Praxis Pioneering, developing AI agents that create products, acquire customers, and plan supply chains to support makers and manufacturers in going direct. I also enjoy taking pictures (right), playing video games, building open-source software, and researching various topics in computing.





I'm an engineer and researcher aiming to create autonomous machines and study how they may benefit us. Currently, I'm leading machine learning efforts at Praxis Pioneering, developing AI agents that create products, acquire customers, and plan supply chains to support makers and manufacturers in going direct. I also enjoy taking pictures, playing video games, building open-source software, and researching various topics in computing.

























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I’m interested in a wide range of topics in computing, including (but not limited to; in decreasing order of importance):

  • scaling autonomous systems in the real world
  • heterogeneity (communication, operator, backend) in machine learning systems
  • curation of large-scale, multi-modal datasets
  • geo-distributed, fault-tolerant model training and inference
  • learning on graph-structured data
  • optimization techniques for deep learning compilers
  • emergent techniques in generative modeling
  • open set learning in computer vision
  • benchmarking techniques for deep learning models
  • refreshing, interdisciplinary uses of AI; an example

If you have any questions regarding our works or would like to collaborate with me, please send all correspondences to peiyuanl [at] cs [dot] cmu [dot] edu.

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