Sinan Tang is a Senior ML/AI Engineer based in Berlin with a decade of hands-on experience building production-grade NLP and generative AI systems. He has driven conversational and recommendation products at Zalando, Babbel and Apple, and now works on ML at Scout24, blending deep computational linguistics roots with pragmatic MLOps practices. His stack spans Python, LLMOps, Kubernetes, AWS (SageMaker), Elasticsearch and frontend tooling, enabling end-to-end deployment of large language model powered assistants. Sinan is self-taught in many practical ML disciplines and enjoys “creating things,” translating research-grade language models into usable product features. He has a formal background in computational linguistics (MA) that informs robust text-processing and TTS work, and a track record of shipping systems that bridge research, data engineering and product. Colleagues value his ability to move quickly from prototyping to scalable, observable deployments in complex cloud environments.
10 years of coding experience
7 years of employment as a software developer
Master of Arts (M.A.) Computational Linguistics, Master of Arts (M.A.) Computational Linguistics at The University of Freiburg
Bachelor of Arts (BA) English Studies, Bachelor of Arts (BA) English Studies at Sun Yat-sen University
Bachelor of Arts (BA) Business Management English Language, Bachelor of Arts (BA) Business Management English Language at Liverpool Hope University
Contributions:4 PRs, 4 pushes, 5 branches in 1 year 1 month
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