Kamal Eyubov

Kamal Eyubov


Education

M.Sc. Informatics

2023 - Present | Technical University of Munich, Germany

Grade: 1.5
Supervisor: Prof. Dr. Viktor Leis
Thesis: Optimizing the Performance of Scalable Distributed Hypergraph Processing Systems with Partitioning

B.Sc. Applied Computer Science

2018 - 2023 | Ruprecht Karl University of Heidelberg, Germany

Grade: 1.5
Supervisor: Prof. Dr. Christian Schulz
Thesis: Experimental Evaluation of Algorithms for Streaming Hypergraph Partitioning.
Note: FREIGHT (Fast Streaming Hypergraph Partitioning) based on this thesis went on to receive the Best Paper Award at SEA 2023.

B.Sc. Computer Science

2016 - 2018 | French-Azerbaijani University, Azerbaijan

Publications

FREIGHT: Fast Streaming Hypergraph Partitioning

Kamal Eyubov, Marcelo Fonseca Faraj, and Christian Schulz

  • Published: Algorithmica 87, 405-428 (2025), DOI Link
  • Presented: 21st Symposium on Experimental Algorithms (SEA 2023) in Barcelona.
  • Award: Best Paper Award (SEA 2023, Spain).

Achievements

  • 2015: Member of the National Team of Azerbaijan, International Olympiad in Informatics (IOI), Kazakhstan.
  • 2015: Third Place, Republican Olympiad in Informatics, Azerbaijan.
  • 2014: Third Place, Republican Olympiad in Informatics, Azerbaijan.

Work Experience

Working Student at SAP SE

2023 - Present

  • Development of an internal tool for managing released application data in .NET.
  • Optimization of its CD/CI pipeline on Azure DevOps.
  • Setting up its testing on Azure and GitHub.

Intern at SAP SE

2019 - 2020

  • Development of a video-conferencing web-application with WebRTC.

Skills & Knowledge

Programming languages: C, C++, C#, Python, Rust, Java
Markup languages: LaTeX, HTML
Parallel programming: OpenMPI, OpenMP
Data analysis & ML: Numpy, Pandas, Matplotlib, PyTorch
Operating systems: Linux, Windows
Cloud development: AWS, Azure, Docker
Web-development: ASP.NET, IIS
Other: Database implementation, Network protocols, IT Security, Computer architecture, Natural language processing

Languages

Azerbaijani (Native)  •  Russian (Native)  •  English (Fluent)  •  German (Fluent)


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