Anders Jakobsen is a software engineer with a decade of experience building data-intensive backends, pipelines, and AI systems from Aalborg, Denmark. As a "Software Pilot" at Trifork he blends hands-on engineering with business development, delivering production-grade solutions using Kafka, Elasticsearch, Neo4j, Flink and modern ML stacks like PyTorch and Hugging Face. He has proven product delivery experience from end-to-end systems—designing an intelligent planning platform in a previous full‑stack role and publishing research tooling during his university work. Comfortable across cloud orchestration, observability and reverse engineering, Anders bridges the gaps between data, ML, and operations to ship dependable systems. He pairs strong academic fundamentals (MSc in Software Engineering) with a practical knack for taking tricky, data-rich problems into production.
10 years of coding experience
3 years of employment as a software developer
Master of Science (MSc), Software Engineering, 11.6 (avg.), Master of Science (MSc), Software Engineering, 11.6 (avg.) at Aalborg University
Studentereksamen (STX), Studentereksamen (STX) at Odder Gymnasium
Bachelor of Science (BSc), Computer Software Engineering, 11.1 (avg.), Bachelor of Science (BSc), Computer Software Engineering, 11.1 (avg.) at Aalborg Universitet
Data generation, model training and evaluation pipelines for the cold-start setting.
Contributions:236 commits, 19 PRs, 199 pushes in 8 months
pythoncold-startsettingevaluationmodel-training
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