Anders Nyman
Staff Engineer at hyresbevakning.se
Stockholm, Sweden
Summary
👤
Senior🎓
Top SchoolAnders Nyman is a Staff Engineer based in Stockholm with 14 years of experience building data-driven systems, leading machine learning and backend teams, and shipping production-grade search at Spotify. He progressed from data engineer to engineering manager and senior ML engineering manager before moving back into a hands-on staff role, blending technical depth with people leadership. Anders has a strong backend and data engineering pedigree—his contributions to the widely used Luigi pipeline framework show practical experience improving schedulers, file handling and Hadoop integration. He also founded hyresbevakning.se, a Python/Google Cloud/Elasticsearch startup, demonstrating product-minded engineering and long-term entrepreneurial commitment. Earlier work on onboard satellite software and a constraint-programming thesis at Cisco underscores his ability to tackle rigorous, safety- and correctness-critical systems. Comfortable moving between low-level systems and large-scale ML infra, he brings a pragmatic, architecture-first approach to complex data problems.
14 years of coding experience
18 years of employment as a software developer
M.Sc., Computer Science and Engineering, M.Sc., Computer Science and Engineering at Lund UniversityUniversity of California Santa CruzBusiness Administration, Business Administration at Stockholm University
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (10)
scheduling10
luigi10
hadoop10
python10
orchestration-framework10
gzip8
testing7
virtual-machine6
vsphere6
snapshots6
Programming languages (1)
Github contributions (5)
spotify/luigi
Mar 2012 - Nov 2014
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:20 commits, 5 comments in 2 years 8 months
Contributions summary:Anders primarily contributed to the `luigi` Python module, a framework for building data pipelines. Their work involved modifying core functionalities, including improvements to the scheduler and file handling. They also integrated new features such as gzip support and addressed build and deployment issues. Furthermore, the user refactored and enhanced existing components and added support for Hadoop jobs.
pythonbatch-jobsdependency-resolutionorchestration-frameworkworkflow-management
anyman/pyschema
Mar 2015 - Oct 2015
Contributions:19 pushes, 6 branches in 6 months
python-librarypythonvalidationclass-basedserialization
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