Everything you need to quote, brief, or book Ross Blankenship in one place — paste-ready bios, a downloadable high-res headshot, the topics he covers, his credentials, and a fast contact path. Ross is available for interviews and written commentary, typically same-day.
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One-sheet
One page. Bio, facts, six topics and a first question for each.
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Ross D. Blankenship is an inventor, real estate operator and author. He holds U.S. Patent 12,741,586 and has 29 more patent applications pending on autonomous vehicles, EV charging, drone safety and parking payments. He runs Wins Parking and built Park Graph and ChargingNear.me.
Ross D. Blankenship is an inventor, real estate operator and author of five books on AI and property. He runs Wins Parking, a family-owned parking design, build and management company founded in 2016, with teams in Colorado, Florida and the Southeast and projects in 7 states. Wins also installs EV and robotaxi charging. He built Park Graph, which lets drivers pay for parking by scanning a QR code and lets AI assistants book spaces, and ChargingNear.me, a directory of more than 95,000 U.S. EV charging stations. He holds U.S. Patent 12,741,586 and has 29 applications pending, including AVIM and ASCAV for autonomous-vehicle authentication. He has a B.A. from Cornell and a J.D. from Washington University School of Law, and SEC Enforcement experience.
Each topic has an angle and three questions Ross can answer on air or in print. Use them as-is or bring your own.
Robotaxis need places to charge, wait, get cleaned and hand off riders, and almost none exist yet.
Fake QR stickers on pay signs steal payments; Ross filed a patent on detecting them.
Assistants such as Claude and ChatGPT can already find and book parking through Park Graph.
Ross filed 5 patent applications on keeping drones clear of crewed aircraft.
ChargingNear.me tracks more than 95,000 stations and shows when each was last verified.
Ross files patents on problems he meets running parking lots; his first issued in September 2026.
How AI is changing underwriting, operations and pricing, from an operator who uses it on his own properties.
Who is responsible when an AI agent makes a costly decision: liability, oversight and the human-review rule.
A background that combines operating experience, law, and invention — useful for stories that need both technical depth and real-world operating nuance.
Bylines, podcasts and broadcast appearances are added here as they run.
Published author — five books on AI, real estate, and ownership
Instructor on startups, investing, cybersecurity, and company-building
Insights on AI accountability, real estate underwriting, EV economics, and parking software
Ongoing public commentary on technology, markets, and policy
Available for interviews — typically same day
For interviews, quotes, background, or to book Ross for a panel or podcast, send a short note with your outlet, topic, angle, and deadline. The faster the deadline, the more direct the message should be.
Working on a tight deadline? Mention it in the first line and Ross will prioritize the response.