Otmar Ertl
Senior Principal Software Mathematician & Lead Researcher
Linz, Upper Austria
Summary
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RockstarOtmar Ertl is a Senior Principal Software Mathematician and Lead Researcher based in Linz, Austria, with 11 years of experience applying rigorous mathematical methods to high-performance backend systems. At Dynatrace he leads research that bridges theory and production, and he also teaches a university special lecture on big-data sketching, showing a strong commitment to both industry impact and education. Otmar is an active open-source contributor to prominent projects like Redis and KeyDB, where he notably improved HyperLogLog cardinality estimation and core data-structure performance. His work on Apache Commons Math adds statistical depth—implementing Zipf sampling and fixing Kendall’s tau—demonstrating careful attention to numerical correctness and QA. He combines a researcher’s precision with a practitioner’s focus on efficiency, often improving algorithms, hash usage, and compilation robustness in mission-critical code. Colleagues can expect a mathematically grounded engineer who consistently turns theoretical insights into tangible performance gains.
11 years of coding experience
Github Skills (27)
algorithm10
caching10
algorithms10
key-value-store10
redis10
testing10
mathematics10
statistics10
databases10
c1110
math10
statistic10
data-structure10
java10
c1710
Programming languages (9)
Github contributions (5)
apache/commons-math
Jul 2015 - Aug 2016
Apache Commons Math
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:35 commits in 1 year
Contributions summary:Otmar primarily focused on enhancing the mathematical and statistical functionalities within the Apache Commons Math library. They implemented a new random sampling method for Zipf distributions and corrected calculation errors in the Kendall's tau coefficient. Furthermore, the user added checks for array lengths in distance functions and improved the performance of existing methods, indicating a focus on code quality and efficiency. Several commits also addressed bugs and included test cases, showcasing a QA engineer role.
mathematicspolynomialfittingroot-findingstat
Snapchat/KeyDB
Mar 2018 - Mar 2018
A Multithreaded Fork of Redis
Role in this project:Back-end Developer
Back-end DeveloperContributions:12 commits in 4 days
Contributions summary:Otmar primarily contributed to the core logic of the KeyDB project, focusing on performance improvements and the optimization of the HyperLogLog data structure, a component for approximate cardinality estimation. The user updated the HyperLogLog implementation by refining the cardinality estimation methods, improving the underlying hash function usage, and fixing compilation errors. These changes demonstrate a focus on enhancing the accuracy and efficiency of KeyDB's internal data structures.
redisscaleleveldbgeohashredis-server
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