Jakob Hjelm is a software engineer based in Lund with 11 years of experience blending backend engineering and data-focused systems, particularly in Java and Dart. He has built high-throughput analytics engines and cloud-native microservices (Spring Boot, Kafka, AWS, Terraform) and is currently driving generative AI efforts to automate core data processing workflows. Trained as an ecologist with an MSc in Ecology and Evolution, Jakob brings a rare cross-disciplinary perspective, applying empirical rigor from field biology and museum data work to text classification and entity enrichment problems. His background includes hands-on work with PostgreSQL, Cassandra/Keyspaces, Prometheus/Grafana and CI/CD, and he has a history of contributing to community projects and internal tooling that streamline QA and data teams. Curious about complexity, he experiments with simulations, genetic algorithms and hobby projects on GitHub, reflecting a long-standing appetite for both natural and computational systems.
11 years of coding experience
5 years of employment as a software developer
Ecology and Evolutionary Biology, Ecology and Evolutionary Biology at University of KwaZulu-Natal
Master of Science - MS Ecology and Evolutionary Biology, Master of Science - MS Ecology and Evolutionary Biology at University of Gothenburg
Biology General, Biology General at Charles University
A domain parser for dart based on the Public Suffix List
Contributions:7 releases, 3 reviews, 87 commits in 2 years 8 months
suffixdartdomain-parserpublic-suffix-listdomain
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