Tunç Gültekin
Principal Machine Learning Engineer at Zendesk
Berlin, Germany
Summary
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Senior🎓
Top SchoolTunç Gültekin is a Principal Machine Learning Engineer based in Berlin with over a decade of experience designing cloud-native ML platforms, frameworks, and production services. He blends academic rigor—a PhD focused on deep learning with small datasets—with hands-on architecture work across AWS/GCP, Kubernetes/ECS, Docker and stream systems like Kafka. At companies from LOGO to Zendesk and Ultimate he has led ML chapters and built MLaaS, microservice frameworks, model-serving pipelines and custom Jupyter-based dev environments. He is fluent in Python and .NET ecosystems and routinely bridges research and engineering to turn prototypes (time series, NER, anomaly detection, chatbots) into scalable products. Less obvious: he pairs deep learning research with pragmatic DevOps patterns—creating custom load balancers, CI/CD tasks and SSO solutions—to ensure models survive at scale. His GitHub work includes a niche "phase diagram builder," reflecting an interest in scientific tooling and visualization alongside production ML.
10 years of coding experience
9 years of employment as a software developer
Master of Science (M.Sc.) Computer Engineering, Master of Science (M.Sc.) Computer Engineering at Bilkent UniversityDoctor of Philosophy (PhD) Computer Engineering, Doctor of Philosophy (PhD) Computer Engineering at Ege UniversityGithub contributions (5)
melampyge/PolymerAnalysis
Jul 2017 - Dec 2023
Contributions:74 pushes, 5 branches, 1 tag in 6 years 6 months
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