Will Whitney
Artist Manager at 21st Century Artists, Inc.
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolWill Whitney is a New York–based artist and talent manager with 13 years of experience bridging music, film/TV production, and customer-facing tech and marketing roles. He currently manages artists at 21st Century Artists and has production credits on high-profile projects including Beyoncé’s Black Is King and Blitz Bazawule’s The Burial of Kojo, alongside executive producing releases for emerging acts. Comfortable in both creative and technical environments, Will has contributed full‑stack improvements to the popular nteract/hydrogen codebase and extended a PyTorch RL repo to support the DM Control Suite, reflecting a rare mix of hands‑on engineering and creative production. His background in customer success and project management informs a pragmatic, artist-centered approach to career development and cross-disciplinary collaboration.
13 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.S.), Bachelor of Science (B.S.) at University of Maryland University CollegeMontgomery Blair High SchoolSt. John's College High School
French, Spanish
Github Skills (25)
pytorch10
javascript10
coffeescript10
python10
ui-design10
reinforcement-learning10
uid10
front-end-development10
deep-reinforcement-learning10
ata9
gymnasium9
css9
openai-gym9
atari26009
kernel-mode9
Programming languages (14)
Github contributions (5)
nteract/hydrogen
May 2015 - Jun 2016
:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:191 commits, 23 PRs, 181 pushes in 1 year 1 month
Contributions summary:Will contributed significantly to the `nteract/hydrogen` repository, primarily focusing on enhancing the user interface and functionality. They implemented features for displaying results, including HTML and image support, and also added interactive elements like a close button and a status bar. Furthermore, the user worked on integrating features like autocomplete and kernel management, with the ultimate goal of improving the overall interactive coding experience within Atom.
nteractpythonjupyterlab-extensionjupyter-notebookinspect
ikostrikov/pytorch-a2c-ppo-acktr-gail
Mar 2018 - Mar 2018
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Role in this project:ML Engineer
ML EngineerContributions:5 commits, 2 PRs, 1 comment in 1 day
Contributions summary:Will contributed to integrating the DM Control Suite with the reinforcement learning environment, indicating a focus on expanding the repository's compatibility. Their work included creating a wrapper for the `dm_control2gym` library and modifying the environment setup to accommodate the new integration. They also made improvements to the codebase, such as cleaning up indentation and adjusting plotting functionality.
policytrust-regionsecond-orderadversarialnatural-gradients
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