Philip Pitts

Software Engineer at OpenBCI

Greater Seattle Area United States
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

🤩
Rockstar
🎓
Top School
Philip Pitts is a versatile software engineer with 10 years of experience bridging AR/VR, neurotechnology, cloud infrastructure, and embedded systems. He has led teams and labs—most recently as Head of Software at OpenBCI and as an AR/VR lead for the DoD—while currently performing flight software verification for NASA as an embedded contractor. Philip blends hands-on engineering (Unity, CI/CD, ray-traced time-of-flight simulation) with strategic planning and project leadership, delivering both prototypes and production-ready systems. He founded a startup exploring low-cost brain-computer interfaces and shipped EMG/EEG-driven game integrations, evidencing a knack for turning research into practical products. Comfortable in multidisciplinary and secure environments, he also leverages Mandarin skills and academic rigor (dual BAs, 3.93 GPA) to collaborate across teams and cultures. Philip’s background reveals a rare combination of applied research, defense-grade verification, and entrepreneurially driven product development.
code10 years of coding experience
job10 years of employment as a software developer
bookBachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Washington State University
languagesEnglish, Chinese
github-logo-circle

Github Skills (20)

openbci10
muse10
python10
signal-processing10
ubuntu10
brain-computer-interface10
neuroscience10
parse10
bioinformatics10
linux9
firmware9
windows9
resharper7
rider6
plugin6

Programming languages (5)

C#C++CHTMLJupyter Notebook

Github contributions (5)

github-logo-circle
philippitts/brainflow

Apr 2022 - Feb 2026

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
Contributions:65 pushes, 15 branches in 3 years 10 months
pythonbiosensorsbioinformaticsemgecg
Source code for pbrt, the renderer described in the third edition of "Physically Based Rendering: From Theory To Implementation", by Matt Pharr, Wenzel Jakob, and Greg Humphreys.
Contributions:15 commits, 5 pushes in 6 years
pbrtphysically-based-rendering
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial