Nesta Bentum
Software Engineer at Capgemini
Germany
Summary
🤩
Rockstar🎓
Top SchoolNesta Bentum is a software engineer based in Germany with 8 years of practical experience building backend systems and improving code analysis tooling. Currently at Capgemini after growing through multiple developer roles at ITscope, Nesta holds an MSc in Computer Science from KIT and a BSc from the University of Karlsruhe. He contributes to the well-regarded JPlag project, where he enhanced clustering by adding average similarity calculations and robust tests to improve plagiarism detection accuracy. Comfortable in production environments and open-source collaboration, Nesta combines academic rigor with hands-on optimization of analysis algorithms. An understated strength is his focus on measurable improvements—ensuring features are both functionally richer and verifiably tested.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Karlsruhe Institute of Technology (KIT)Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Karlsruhe
Stackoverflow
1reputation
1kreached
1answer
2questions
Github Skills (13)
algorithm10
data-structures10
javas10
algorithms10
clustering10
data-structure10
java10
program-analysis9
source-code-analysis9
xtext6
eclipse6
jar6
dsl6
Programming languages (4)
Github contributions (5)
jplag/JPlag
May 2022 - Sep 2022
State-of-the-Art Source Code Plagiarism & Collusion Detection. Check for plagiarism in a set of programs.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 reviews, 54 commits, 13 PRs in 4 months
Contributions summary:Nesta focused on enhancing the clustering capabilities within the JPlag project. They implemented the incorporation of average similarity calculations into the cluster analysis, modifying the `ClusteringResult` and `Cluster` classes. Furthermore, the user updated and added tests to the `ClusteringResultTest` class to ensure the accuracy of the implemented similarity calculations. These changes are related to optimizing the clustering process and providing a more informative analysis of code similarity.
collusion-detectionplagiarism-detectiontoken-basedplagiarism-checktoken
nestabentum/JPlag
May 2022 - Sep 2022
Detecting Software Plagiarism and Collusion since 1996.
Contributions:2 PRs, 111 pushes, 26 branches in 4 months
plagiarismdetectingsoftware-plagiarism
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