Jay Johnson
Chief Executive Officer And Founder at Coeus Creative Group
Detroit Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolJay Johnson is a CEO, founder, and behavioral scientist who transforms struggling management teams into high-performance leaders by applying a proprietary framework rooted in the 4-Drive Theory of Human Behavior. With 12+ years of executive experience and over two decades in leadership development, he has delivered 500+ talks across 33 countries and helped organizations like Ford, NASA, Stellantis, and Johns Hopkins reset culture and rebuild trust. He runs Behavioral Elements and Coeus Creative Group, blending keynote speaking, workshops, and organizational consulting to turn overwhelmed managers into leaders people want to follow. Jay also teaches leadership communication at Wayne State and contributes thought leadership to Forbes, showing a commitment to both practice and pedagogy. Beyond leadership development, he codes on the side (Rust, Python, Next.js), a detail that highlights a pragmatic, hands-on curiosity about systems and tooling. His work is notable for measurable engagement gains and a repeatable playbook that converts behavioral insight into operational results.
12 years of coding experience
15 years of employment as a software developer
Master of Arts (M.A.) Public Relations Organizational Development and Applied Communication, Master of Arts (M.A.) Public Relations Organizational Development and Applied Communication at Wayne State University
Github Skills (196)
yql10
python10
trading10
network-analysis10
react-redux10
swagger10
ipython10
backtesting10
backtest10
tradier10
deep-learning10
docker-container10
ai-security10
json-logs10
rest-api10
Programming languages (8)
Github contributions (5)
jay-johnson/antinex-core
Mar 2018 - Dec 2018
Network exploit detection using highly accurate pre-trained deep neural networks with Celery + Keras + Tensorflow + Redis
Contributions:158 commits, 2 PRs, 148 pushes in 9 months
celerydeep-neural-networksexploitkerasredis
AlgoTraders/stock-analysis-engine
Sep 2018 - Sep 2020
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
Contributions:905 commits, 612 PRs, 326 pushes in 2 years
aibacktestdocker-composekubernetestradier
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.