Paul Degrandis is a senior research and innovation leader with 15+ years designing and operationalizing next-generation information systems for startups and Fortune 500s. Currently Senior Director of Research at Kevel, he blends a "future-back" strategic vision with hands-on systems expertise to move discoveries into production and create lasting competitive advantage. His career spans distributed systems, cognitive/autonomic computing, cloud-native architectures, and high-scale adtech and recommendation platforms, informed by roles from co-founder to principal engineer. An active open-source contributor, he has made substantive commits to flagship Clojure projects such as ClojureScript, Pedestal, and kibit, helping bridge language tooling and server frameworks to real-world deployments. Paul pairs design-thinking and discovery-driven methods with rigorous scenario planning and weak-signal monitoring to foster cultures that learn faster than their competition. Based in New Hampshire, he also brings practical research lab experience and MIT Sloan training in strategy and innovation.
15 years of coding experience
17 years of employment as a software developer
BS (partial MS) Software Engineering, BS (partial MS) Software Engineering at Drexel University
Strategy and Innovation Certificate, Strategy and Innovation Certificate at MIT Sloan School of Management
Contributions:6 releases, 2 reviews, 553 commits in 5 years 6 months
Contributions summary:Paul's commits primarily focused on migrating and integrating existing code, including app-specific functionalities and service samples. Their work involved restructuring the codebase, relocating features into their own repositories, and integrating new services like the template server and ring middleware examples. They demonstrated proficiency in Clojure and familiarity with the Pedestal framework by integrating and testing various templating and service components.
Contributions summary:Paul contributed to the core logic of the kibit project, a Clojure code analysis tool. Their work included refactoring the core components to improve testability and add lazy evaluation, as well as adding new rules to identify and suggest improvements to code style and structure. They also updated and refactored the test suite to align with core changes. Furthermore, the user integrated line number reporting, allowing for more precise identification of potential issues within the source code.
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