Sarah Elsharkawy is a Principal Applied Science Manager based in Meerbusch, Germany, with a PhD and over a decade of experience pivoting into focused leadership in LLMs, NLP and machine learning. She has led research and production teams at Rasa, trivago and Cohere, driving post-training model work, large-scale annotation pipelines and evaluations that supported commercial and research-grade conversational AI. At Cohere she worked on hyperparameter optimization, sparse MOE experiments, model merging and distillation to maximize generative model performance and helped launch Command and Reward model workflows. Now at Microsoft, she brings hands-on modelling expertise together with a track record of building data quality tooling and evaluation metrics that close the loop between annotation, training and product. Her background — from early R&D and search optimization to managing cross-functional teams — gives her a rare blend of deep research chops and pragmatic delivery focus.
4 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Developing a predictive model for message propagation on online social networks, Doctor of Philosophy (Ph.D.) Developing a predictive model for message propagation on online social networks at Ain Shams University
Thanaweya Amma Math, Thanaweya Amma Math at Futures Language School
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Contributions:1 commit, 3 PRs, 4 pushes in 1 day
nlupythonbotspeech-recognitionbotkit
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Sarah Elsharkawy - Principal Applied Science Manager at Microsoft