Maximilian Knespel
Researcher at Technische Universität Dresden
Dresden, Saxony, Germany
Summary
🤩
Rockstar🎓
Top SchoolMaximilian Knespel is a researcher and software engineer with 12 years of experience in high-performance computing and performance visualization, currently based at Technische Universität Dresden. He has driven development on Vampir, a large-scale performance visualization tool, and contributed backend fixes to the popular Conky system monitor to improve accuracy of network statistics and graph scaling. His work spans performance prediction for machine learning, shared-memory benchmarking on NUMA architectures, HPC workflow visualization, and training on container solutions like Singularity. Combining a Physics BS and an MS in Computational Science and Engineering, he brings strong analytical rigor to practical systems engineering. Colleagues know him for quietly fixing subtle measurement bugs that materially improve reliability at scale. He balances research, mentoring, and hands-on coding to move HPC tooling from prototype to production-ready.
12 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Computational Science and Engineering, 1,5, Master of Science - MS, Computational Science and Engineering, 1,5 at Technische Universität Dresden
English, German
Stackoverflow
1,927reputation
273kreached
40answers
7questions
ffmpeg
top-5%
Github Skills (17)
c-language10
linux10
networking10
system-monitoring10
cprogramming-language10
ffmpeg9
lua9
cairo8
quicksort6
keras6
keras-layer6
deep-learning6
mnist6
machine-learning6
bash6
Programming languages (18)
Github contributions (5)
brndnmtthws/conky
Dec 2015 - May 2016
Light-weight system monitor for X, Wayland, and other things, too
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 4 PRs, 21 comments in 4 months
Contributions summary:Maximilian primarily focused on improving the Conky system monitor's backend functionality, particularly addressing issues with network statistics and graph rendering. They fixed a bug causing an initial spike in network traffic readings and implemented improvements to the graph scaling logic. The user also addressed a double-counting issue at the start and fixed an issue related to path removal from the config file. These changes indicate a focus on improving the accuracy and reliability of the system monitoring features.
lualight-weightmonitorwaylandlight
mxmlnkn/mkPython
Aug 2017 - Apr 2018
Contributions:11 commits, 4 pushes, 1 branch in 7 months
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