Shabnam Sadegh is a Data & Applied Scientist II at Microsoft with 13 years of experience applying NLP, search, retrieval and ranking techniques to real-world problems. She blends deep interest in cognitive science, AI fairness, ethics and philosophy with hands-on work in machine learning and multimodal research spanning text and vision. Her background includes academic research at Japan’s National Institute of Informatics on image/video captioning and industry roles in finance, manufacturing and insurance where she built scalable analytics and production ML pipelines. A former founder who won AngelHack and launched a fashion-tech startup, she brings product intuition and entrepreneurial grit to data problems. Based in Bavaria, she holds an MS in Data Engineering from TUM and a strong software engineering foundation from Amirkabir University. Colleagues describe her as a thoughtful researcher-practitioner who connects theory and ethics to deployable search and retrieval systems.
12 years of coding experience
10 years of employment as a software developer
Amirkabir University of Technology
Master of Science - MS, Data Engineering and Analysis, Master of Science - MS, Data Engineering and Analysis at Technical University Munich
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