William Falcon
FOUNDER&CEO at Lightning AI
Carson, California, United States
Summary
🤩
Rockstar🎓
Top SchoolWilliam Falcon is a founder and CEO with 12 years of experience building production-ready AI tooling and companies, best known as the creator of PyTorch Lightning and CEO of Lightning AI. He blends deep research—PhD work at NYU and stints at Facebook AI Research under Kyunghyun Cho and Yann LeCun—with product instincts, having co-founded Grid.ai and a prior fintech startup that served over 120k students. Technically hands-on, he contributes to core Lightning projects (pytorch-lightning, Flash, Bolts, torchmetrics) focusing on documentation, data ingestion, metrics, and model tooling that help teams scale models across GPUs and TPUs. His background is unusually broad: from Navy SEAL training to NSF- and DeepMind-funded research, which informs a pragmatic, mission-driven approach to AI systems. He also writes about AI in outlets like Forbes and KDNuggets, translating research into accessible guidance for practitioners and builders.
12 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at New York UniversityBachelor's degree, Bachelor's degree at Columbia University
Github Skills (23)
pytorch10
data-pipelines10
python10
data-science10
classification10
image-classification10
machine-learning10
pytorch-lightning10
text-classification10
data-loading10
deeplearning-ai10
deep-learning10
mnist10
data-pipeline10
modeling10
Programming languages (11)
Github contributions (5)
Lightning-AI/deep-learning-project-template
Aug 2019 - Oct 2020
Pytorch Lightning code guideline for conferences
Role in this project:
ML Engineer
ML EngineerContributions:83 commits, 2 PRs, 76 pushes in 1 year 1 month
Contributions summary:William contributed to the development of a deep learning project template focused on Pytorch Lightning. Their work involved creating a basic MNIST classifier using PyTorch Lightning, defining training and validation steps, and configuring optimizers. Furthermore, the user updated the project's dependencies and overall structure, demonstrating an understanding of model development, training pipelines, and project setup. The commits include example training and testing functionality with appropriate logging.
pytorchdeep-learninglightningmachine-learningconferences
Lightning-AI/pytorch-lightning
Mar 2019 - Nov 2022
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Role in this project:Technical Writer
Technical WriterContributions:83 releases, 221 reviews, 2330 commits in 3 years 8 months
Contributions summary:William's commits primarily involve modifications to documentation files within the repository. These changes include updates to tutorial content, improvements to documentation structure, and enhancements to the explanations of key concepts. The user also focuses on adding and clarifying content related to various Lightning features, hyperparameter usage, and the organization of the project's code into different files, and more detailed usage guides..
pythonheadachespytorch-modelsdata-sciencehandling
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.