Parag Mital
Founder at The Garden in the Machine, Inc.
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolParag Mital is the founder of The Garden in the Machine and creator of Emergentic, a studio that pioneers AI-driven characters and emergent storytelling for games, simulations, and interactive experiences. He designs multi-agent systems that let digital characters perceive, adapt, and evolve without scripts, combining machine learning, generative design and computational arts to simulate social dynamics and collaborate with human designers. Over the past decade he has bridged research and practice—earning a PhD in Arts and Computational Technologies, publishing audiovisual fMRI work as a postdoc, teaching at UCLA, directing machine intelligence at Kadenze, and leading ML at a startup that was acquired. An active educator and engineer, he maintains hands-on TensorFlow tutorials and developed the CADL MOOC materials, showing a commitment to open teaching as well as research. His installations have shown at the V&A, Science Museum and BFI, and he’s now applying emergent-AI methods to therapeutic healthcare use cases from his base in Los Angeles.
15 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD AI / Arts and Computational Technologies, Doctor of Philosophy - PhD AI / Arts and Computational Technologies at Goldsmiths, University of London
Stackoverflow
226reputation
42kreached
3answers
1question
Github Skills (24)
convolutional-neural-networks10
python10
variational-autoencoder10
machine-learning10
autoencoder10
tensorflow210
deep-learning10
tensorflow10
neural-network10
convolutional-neural-network10
jupyter-notebook10
neuralnetwork10
auto-encoder10
documentations8
documentation8
Programming languages (9)
Github contributions (5)
pkmital/CADL
Jul 2016 - May 2018
Course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:202 commits, 55 PRs, 200 pushes in 1 year 10 months
Contributions summary:Parag's commits primarily involve modifications to Jupyter Notebooks, specifically focusing on the course materials for the "Creative Applications of Deep Learning w/ Tensorflow" MOOC. Their contributions encompass updates to session materials, incorporating code changes, documentation enhancements, and minor corrections. The user also modified the file `libs/utils.py`, and the changes indicate a developer modifying supporting code to augment the notebooks.
deep-learningtensorflowmooc
pkmital/tensorflow_tutorials
Feb 2016 - Dec 2021
From the basics to slightly more interesting applications of Tensorflow
Role in this project:ML Engineer
ML EngineerContributions:2 reviews, 58 commits, 17 PRs in 5 years 11 months
Contributions summary:Parag primarily focused on implementing and testing machine learning models within the TensorFlow framework. Their work included building residual networks, convolutional variational autoencoders, and other related deep learning architectures. They also made updates to existing tutorials and examples within the repository, demonstrating a focus on applying and experimenting with various TensorFlow techniques.
autoencoderinterestingbackpropagationchainertensorflow
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