Hendrik Muhs
Back End Engineer at Constructor
Greater Munich Metropolitan Area Germany
Summary
🤩
Rockstar🎓
Top SchoolHendrik Muhs is a Back End Engineer with 11 years of experience building high-performance search, ML and data-processing features for large-scale systems across startups and enterprise teams. He spent six years shaping Elasticsearch’s machine learning and time-series features—contributing core data-frame transform functionality to a widely used open-source search engine—before leading search and smart-features work at Veeva and now back-end engineering at Constructor. His background includes early work on ultra-fast as-you-type search engines and finite-state key-value indexes, plus contributions to NLP and fuzzy search dating back to his diploma work. Comfortable in Java and systems-level design, he bridges research-quality algorithms and production-grade engineering to deliver resilient, low-latency services. Based in the Greater Munich area, he combines deep search/IR expertise with a habit of presenting and writing about technical topics for the community.
11 years of coding experience
23 years of employment as a software developer
Diploma Business Information Systems, Diploma Business Information Systems at Otto-von-Guericke University Magdeburg
Stackoverflow
41reputation
0reached
1answer
0questions
Github Skills (17)
amazon-elasticsearch10
java10
javas10
elasticsearchquery10
aws-elasticsearch10
elasticsearch10
elasticsearch-api10
apidoc9
api9
version-control8
performance-optimization8
git8
testing7
dictionary6
big-data6
Programming languages (9)
Github contributions (5)
elastic/elasticsearch
Jan 2017 - Jan 2023
Free and Open Source, Distributed, RESTful Search Engine
Role in this project:
Back-end Developer
Back-end DeveloperContributions:443 reviews, 788 commits, 1028 PRs in 6 years 1 month
Contributions summary:Hendrik made multiple contributions to the Elasticsearch project, focusing on the implementation of features and improvements related to the data frame transform functionality. The commits added support for data frame transformations, including the implementation of "fixed_interval" and "calendar_interval" options. They also rewrote start and stop operations and corrected data handling in continuous mode. The code changes spanned multiple Java files and involved the addition of new classes and interfaces, indicating a focus on core functionality.
restfulsearch-engineopensearchelasticsearchjava
hendrikmuhs/ccache-action
Dec 2020 - Jan 2023
github action to speedup building using ccache
Contributions:26 releases, 10 reviews, 26 commits in 2 years 1 month
ccachespeedup
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