Jason Minard is an applied AI and infrastructure leader with 14+ years building scalable search, data engineering, and cloud systems across startups and global companies. He combines hands-on expertise in ElasticSearch/Solr, massive-scale data ingestion and near-real-time pipelines, and near-DBA level database tuning with strategic CTO experience driving reliability, security, and team scaling. Jason has led platform and AI initiatives at Rumble and Locals.com, and architected multi-exabyte storage and analytics solutions for clients like Apple while advising product and hiring pipelines through sort.dev. An active open-source contributor and Kotlin advocate, he has maintained notable projects such as the Kotlin Jupyter kernel and jackson-module-kotlin, helping bridge JVM tooling with modern developer workflows. Costa Rica–based with US and Mexico work residency, he brings a global perspective and a reputation for taking on the hardest technical challenges and delivering pragmatic business impact. His background in linguistics, semantic search, and recommender systems means he routinely blends NLP and relevance engineering into production AI systems rather than treating models as isolated experiments.
Module that adds support for serialization/deserialization of Kotlin (http://kotlinlang.org) classes and data classes.
Role in this project:
Back-end Developer
Contributions:281 commits, 31 PRs, 213 pushes in 5 years 4 months
Contributions summary:Jason's primary contribution was in developing and maintaining the Jackson Kotlin module, which provides support for serializing and deserializing Kotlin data classes and other Kotlin language features within the Jackson JSON processing library. Their work includes implementing support for various Kotlin language features such as data classes, enums, sealed classes, and default constructor parameters. This involved modifying the code base to handle implicit parameter names, companion objects, factory methods, and annotations such as `@JsonCreator`. Further contributions included the addition of test cases, demonstrating proficiency in implementing support for core features of the Jackson library within the context of the Kotlin programming language.
Contributions:18 commits, 2 PRs, 12 pushes in 1 year 2 months
Contributions summary:Jason primarily refactored and updated the Kotlin kernel for Jupyter/IPython. Their commits focused on updating to a more current Kotlin version, utilizing common code from kotlin-script-util, and capturing and sending back standard output and standard error streams. Additionally, they addressed classpath issues and updated library dependencies, suggesting contributions to the core functionality and maintenance of the Kotlin Jupyter kernel.
ipythonjupyterkernelkotlin
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