Adam Gibson is a creator and seasoned AI infrastructure entrepreneur with 12 years of experience building production-ready deep learning tooling, best known as cofounder of Konduit and creator of Deeplearning4j. As CTO of Konduit and longtime project lead at Eclipse Deeplearning4j, he combines hands-on backend engineering with strategic product leadership and has represented his projects on the Eclipse Foundation board. His open-source pedigree extends beyond ML—he has contributed backend fixes and wallet/RPC improvements to high-profile Bitcoin projects like lnd and JoinMarket, showing a knack for secure, production-grade systems. Adam also co-authored a practical deep learning book for O'Reilly and has a track record advising and founding startups that bridge research and deployable AI infrastructure. Based in Chiyoda, Japan, he blends developer craftsmanship with governance experience, making complex ML stacks accessible to engineering teams.
12 years of coding experience
11 years of employment as a software developer
Dropped out, Computer Science/Data Science MIS, 3, Dropped out, Computer Science/Data Science MIS, 3 at Michigan Technological University
Bitcoin CoinJoin implementation with incentive structure to convince people to take part
Role in this project:
Back-end Developer
Contributions:48 releases, 629 reviews, 1176 commits in 6 years 3 months
Contributions summary:Adam's contributions primarily involved modifying the Joinmarket client-server code to enhance the Bitcoin coinjoin implementation. The user focused on the design and development of backend logic related to user data management, by moving it to the home directory and adding the functionality for direct sends and other methods via a new RPC API. These changes included incorporating features for signet support (BIP325) and various bug fixes that increased system robustness.
Contributions:7 commits, 8 PRs, 41 comments in 1 year 4 months
Contributions summary:Adam primarily contributed to the back-end functionality of the Lightning Network Daemon (LND). Their work includes fixing comment errors, adding tests for key rotation based on BOLT8 test vectors, and adding a `maxconfirms` argument to `ListUnspentWitness`. The user also added an RPC call to list unspent outputs, demonstrating an understanding of the system's wallet and RPC interface. Furthermore, they made typo corrections in comments, indicating careful attention to detail and code quality.
cryptographypaymentsprotocoldaemonlightning
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.