Sanjaya Subedi is a Senior Data Scientist based in Darmstadt with 12 years of experience building ML-driven products across NLP, computer vision and data engineering. He has progressed from backend and data-warehouse engineering into designing scalable AI services and state-of-the-art NLP pipelines, now shaping data science efforts at Delivery Hero. His background includes hands-on work with real-time systems, process mining and production ML, giving him a pragmatic focus on deployable models for search, QA and chatbot agents. Trained in distributed software systems at TU Darmstadt, he blends software engineering rigor with research-led experimentation—having applied Deep LSTM and advanced ML methods in academic and industrial contexts. Colleagues value his ability to translate complex algorithms into robust, scalable services that impact customer-facing products.
12 years of coding experience
8 years of employment as a software developer
Technischen Universität Darmstadt
Bachelor of Science in Computer Science and Information Technology (BSc CSIT), Bachelor of Science in Computer Science and Information Technology (BSc CSIT) at Tribhuvan University
Easy KNN in Python. Wrapper for Annoy and Sklearn's Nearest neighbors implementation
Contributions:6 releases, 10 PRs, 26 pushes in 1 year 9 months
neighborspythonnearestsklearnpython-wrapper
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