Karl Andersson
Data Engineer
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolKarl Andersson is a data and machine learning engineer based in Stockholm with 11 years of experience building robust data pipelines, data warehouses, and scalable infrastructure for Schibsted Media Group and earlier BI roles. He specializes in deploying and monitoring LLMs, designing RAG systems, and populating vector databases, and recently led development of a centralized hub to give teams unified access to multiple LLM models. Comfortable with cloud-native tooling like Kubernetes, Terraform, vLLM and observability via Grafana, he blends hands-on engineering with system-level reliability. His background in industrial engineering and applied statistics informs a pragmatic approach to data modeling and performance trade-offs. Before focusing on data, he held commercial and BI-facing roles that sharpened his stakeholder communication and product-minded delivery. Always curious, he actively seeks ways to operationalize cutting-edge AI while keeping pipelines maintainable and auditable.
11 years of coding experience
2 years of employment as a software developer
Master of Science (MSc), Industrial Engineering and Management, Master of Science (MSc), Industrial Engineering and Management at The Institute of Technology at Linköping UniversityMinor, Applied statistics, Minor, Applied statistics at University West
Github Skills (27)
data-pipelines10
monitor10
python10
data-science10
data-engineering10
machine-learning10
workflow-engine10
apache10
scheduler10
etl10
automation10
mlops10
airflow10
elt10
orchestration10
Programming languages (2)
Github contributions (5)
karan5291/airflow
Mar 2019 - May 2019
Apache Airflow
Contributions:9 PRs, 13 pushes, 1 branch in 1 month
apacheairflowapache-airflow
karan5291/CourseraDataScience
Apr 2015 - Nov 2015
Contributions:8 pushes, 1 branch in 7 months
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