Asgeir Berland
Senior Backend Engineer at eroo
Oslo, Norway
Summary
🤩
Rockstar🎓
Top SchoolAsgeir Berland is a Senior Backend Engineer in Oslo with 11 years of experience solving complex systems and optimization problems, currently building an in-house route planner for homecare at Aidn and co-running Eroo, an optimisation API startup acquired by Aidn. With a Master's in Artificial Intelligence and a background spanning machine learning and operations research at Oda, Kolonial.no and other firms, he combines production-grade backend development with practical optimisation and ML models for routing and travel-time prediction. He contributes to open-source tooling for workflows—improving core functionality of Hera for Argo Workflows—bringing reliability and better artifact and retry handling to Python orchestration. Pragmatic and systems-focused, he enjoys turning thorny algorithmic problems into maintainable, deployable services.
11 years of coding experience
6 years of employment as a software developer
Norges teknisk-naturvitenskapelige universitetMaster's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at Utrecht University
Norwegian, English
Stackoverflow
11reputation
178reached
2answers
0questions
Github Skills (14)
kubernetes10
argo-workflows10
exponential-backoff10
workflow-automation10
python10
kubernetes-pods10
pytest9
testing9
sdk9
docker8
dockers8
catboost6
usql6
scikit-learn6
Programming languages (12)
Github contributions (5)
argoproj-labs/hera
Sep 2022 - Oct 2022
Hera makes Python code easy to orchestrate on Argo Workflows through native Python integrations. It lets you construct and submit your Workflows entirely in Python. ⭐️ Remember to star!
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:44 reviews, 11 commits, 30 PRs in 1 month
Contributions summary:Asgeir primarily contributed to the core functionality of the Hera project by addressing retry strategies, improving artifact handling, and integrating environment variable configurations within the tasks. They enhanced existing examples, improved code structure, and refactored the codebase to align with Argo Workflows, thereby enhancing the usability and robustness of the Hera library. Furthermore, they introduced support for generated workflow names.
argo-workflowspythonkubernetesmachine-learningworkflow-management
Trollgeir/airflow
Mar 2019 - Jul 2019
Apache Airflow
Contributions:2 PRs, 36 pushes in 3 months
apacheairflowapache-airflow
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