Parag Mital
Founder at Emergentic.ai
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolParag Mital is a founder and creative technologist with 15+ years building AI-driven, multi-agent systems that enable emergent storytelling and lifelike characters for games, simulations, and interactive art. He leads The Garden in the Machine and Emergentic.ai, translating research-grade ideas in machine learning and generative design into production pipelines for studios, cultural institutions, and healthcare applications. Trained with a PhD in Arts and Computational Technologies and an MSc in AI, he bridges neuroscience-informed audiovisual research, rigorous ML engineering, and large-scale MLOps—evident from his work teaching a 100k-student deep learning MOOC and contributions to TensorFlow tutorials. His past startups range from sensor-to-ML hardware at Hypersurfaces to AI music platforms, and his installations have appeared at major museums worldwide. Notably, he combines hands-on coding (full‑stack and TensorFlow model work) with a practice as an artist-researcher, exploring how language models and agent systems can act as collaborative co-creators in both entertainment and therapeutic contexts.
15 years of coding experience
12 years of employment as a software developer
M.Sc. Artificial Intelligence, M.Sc. Artificial Intelligence at The University of EdinburghBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at University of DelawareDoctor 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 (19)
convolutional-neural-networks10
python10
variational-autoencoder10
machine-learning10
autoencoder10
deep-learning10
tensorflow10
neural-network10
jupyter-notebook10
documentation8
permission6
opencv6
docker6
workspace6
ipython6
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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