Nicholas Bardy
Founder at Nova - Action in Motion
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolNicholas Bardy is a founder and machine learning engineer with 12 years building full-stack and generative AI products from idea to production in the San Francisco Bay Area. He has led teams and shipped novel multimodal training and inference pipelines at companies acquired by Adobe and Canva, and built early-to-market diffusion tools and multimodal chat prototypes at Facet.ai. Nicholas contributed backend work to the widely used Weights & Biases platform, adding 3D object support and data-type integrations to improve model visualization and experiment tracking. He now leads Nova, applying dynamic Gaussian splats and world-model techniques to enable new camera-angle capabilities without reshoots. Comfortable across research, product, and engineering, he pairs experimental R&D with pragmatic deployment experience. Outside work he’s unusually focused on interactive visualizations and—perhaps unsurprisingly—ice cream experimentation.
12 years of coding experience
10 years of employment as a software developer
High School Diploma, High School Diploma at Palm Bay High SchoolUniversity of Central Florida
English
Stackoverflow
13,841reputation
1.7mreached
5answers
11questions
Github Skills (19)
python10
datatypes10
data-science10
machine-learning10
numpy10
pytorch9
apidoc9
tensorflow9
api9
3d-models9
html6
database6
google-chrome-extension6
language-agnostic6
jquery6
Programming languages (13)
Github contributions (5)
wandb/wandb
Mar 2019 - Sep 2020
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:92 commits, 34 PRs, 115 pushes in 1 year 6 months
Contributions summary:Nicholas primarily contributed to the development of 3D object support within the Weights & Biases platform. Their work involved adding new data types (Object3D) and functionalities for handling and visualizing 3D models within the existing framework. This included creating utilities for converting numpy arrays to an object format, integrating file object support, and expanding the data types API.
aimachine-learningexperiment-trackdeep-learningkeras
nbardy/AlphaGOJS
Jun 2018 - May 2026
Contributions:1 PR, 11 pushes, 2 branches in 8 years
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