Ayhun Tekat is a Senior Data Engineer based in the Greater Munich area with 11 years of experience building data pipelines and monitoring systems for energy and industrial clients. He combines hands-on PySpark and Python engineering with cloud-native Azure tooling, CI/CD automation on GitLab, and production monitoring using Elasticsearch and TICK/Prometheus stacks. His background includes scraping and infrastructure-as-code work, Kubernetes deployments, and orchestration with Airflow and Azure Batch to support large-scale telemetry and analytics. An early contributor to the popular cytoscape.js graph library, he implemented core centrality algorithms—bringing academic graph-analysis experience into practical engineering. He holds an MSc in Informatics from TUM and a BSc in Computer Science from Bilkent, blending research-driven rigor with operational delivery.
11 years of coding experience
3 years of employment as a software developer
Master of Science (MSc), Informatics, Master of Science (MSc), Informatics at Technical University Munich
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Bilkent Üniversitesi
Graph theory (network) library for visualisation and analysis
Role in this project:
Full-stack Developer
Contributions:12 commits, 6 pushes, 3 comments in 1 month
Contributions summary:Ayhun primarily contributed to the implementation of graph theory algorithms within the cytoscape.js library. Their work involved adding new centrality measures, including degree, closeness, and betweenness centrality, along with corresponding normalized versions. The user also added and updated tests to ensure the correctness of these algorithms and added options for weighted and directed graphs. The user also made minor improvements to the algorithms and added aliases for the implemented functions.
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