CEO && Founder at [DIMO] at DIMO
Insights & ideas
Yevgeny Khessin argues that vehicle data ownership by car manufacturers has stifled a developer ecosystem, drawing on a decade building automotive IoT at Ford, GM, and Chrysler [1]. He contends that since a vehicle is often a person's second most expensive purchase, its data should belong to the owner, and criticizes existing OEM data systems for lacking basic permissioning around who can see what [1]. Khessin envisions DIMO as open infrastructure enabling charging-network discovery, machine-to-machine blockchain payments as an alternative to card networks embedded in future cars, and public-goods uses like crowdsourced weather and pothole detection from everyday driving [1]. He acknowledges most people are pragmatic capitalists who would sell selective data if compensated, rather than insisting on total privacy [1]. He also frames self-driving vehicles as requiring a common cross-brand data standard rather than centralized, siloed integrations, and describes DIMO's validation approach using manufacturer-certified devices, minted device identities, and cryptographic signatures to ensure data authenticity in a decentralized network [1].
Experience
- CEO && Founder at [DIMO]DIMO2026 to Present
- CTO & Co-FounderDIMOSep 2021 to Mar 2026
- Product Line ArchitectAeris CommunicationsAug 2019 to Sep 2021
- Co-founderIntegral.Aug 2017 to Jul 2019
- Lead Software EngineerFord Autonomous Vehicles LLC / Argo AIAug 2017 to Jul 2019
- Big Data EngineerATT - Technical Specialist - IGOct 2016 to Sep 2017
- Software Engineer — OnStarGeneral MotorsAug 2014 to Sep 2016
- Software Engineer - General Motors Product DevelopmentGeneral MotorsJun 2013 to Aug 2014
Education
- Michigan State University · B.S. Computer Science and Engineering, Computer Science and Engineering2013
Media & appearances
- Transforming Vehicle Data Use - Yevgeny Khessin, DIMO Co ...
Yevgeny Khessin discusses DIMO's approach to vehicle data ownership and privacy, explaining how the protocol enables developers to build applications like charging infrastructure solutions, payment systems, and public goods use cases. He covers data validation methods including permissioning controls and future privacy-preserving techniques like zero-knowledge proofs, as well as cross-vehicle validation to ensure data authenticity in a decentralized network.
- Data Privacy Detective | Episode 143 – Mobility and Privacy ...
- Helping Objects in Motion with Yev Khessin - Poddtoppen.se
- Starting up as a team with Yev Khessin - Podtail
- Helping Objects in Motion with Yev Khessin - Podtail
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