John Wiseman
Senior R&D Imagineer at Walt Disney Imagineering
Los Angeles, California, United States
Summary
🤩
Rockstar🎓
Top SchoolJohn Wiseman is a Senior R&D Imagineer with 20 years of experience building conversational characters, robotics, and interactive systems for products ranging from research labs to Walt Disney Imagineering. He blends deep technical chops in C/Python and systems-level engineering with applied AI and NLP, having shipped voice activity tooling (py-webrtcvad) and telemetry-enabled mapping for MAVProxy. At Disney he turns research prototypes into immersive experiences, drawing on a background that includes Google, robotics startups, and a PhD stint in AI at the University of Chicago. His work sits at the intersection of real-time systems, speech/voice processing, and human-facing interaction design. Based in Los Angeles, he is equally comfortable writing low-level glue code as leading R&D to production-grade creative technology. An avid open-source contributor, he favors pragmatic engineering that bridges laboratory prototypes and live, story-driven installations.
20 years of coding experience
17 years of employment as a software developer
B.S., Math and Computer Science, B.S., Math and Computer Science at Northern Illinois UniversityPh.D. dropout, Artificial Intelligence, Ph.D. dropout, Artificial Intelligence at University of Chicago
Stackoverflow
3,130reputation
317kreached
84answers
5questions
lucene
top-5%
audio
top-5%
speech-recognition
top-5%
autocomplete
top-5%
Github Skills (23)
python10
c1110
c1710
webrtc10
javascript9
unit-testing9
lucene9
autocomplete9
audio9
speech-recognition9
web-development8
html8
css8
webapp8
web-application8
Programming languages (28)
Github contributions (5)
wiseman/py-webrtcvad
Apr 2016 - Feb 2021
Python interface to the WebRTC Voice Activity Detector
Role in this project:
Back-end Developer
Back-end DeveloperContributions:69 commits, 7 PRs, 58 pushes in 4 years 10 months
Contributions summary:John primarily contributed to building a Python interface for the WebRTC Voice Activity Detector (VAD). Their work includes creating the core C-based glue code for the Python wrapper, implementing essential functionalities like creating, initializing, setting the mode, and processing audio frames. Furthermore, the user developed methods for rate and frame length validation, along with implementing a series of unit tests to verify the correct functioning of the library.
pythonwebrtc
ArduPilot/MAVProxy
Jun 2012 - Aug 2012
MAVLink proxy and command line ground station
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:19 commits in 1 month
Contributions summary:John contributed to the development of a modest map display within the MAVProxy ground station project. They implemented a map module using `mmap` and `modestmaps.js`, enabling the display of GPS data and telemetry information. Furthermore, the user worked on improving the user interface by integrating different map layer options (Bing, Blue Marble) and adding a link status display.
command-linemavlinkproxy
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