Anastassia Kornilova is an experienced professional in machine learning and data science, currently serving as the Director of Machine Learning Engineering at Trustible since March 2023, where the focus is on enabling trustworthy and responsible AI. Prior to this role, Kornilova worked as a Machine Learning Solutions Engineer at Snorkel AI, leading technical sales to university clients and contributing to data-centric AI applications. Kornilova's experience includes significant contributions as a Research Scientist at FiscalNote, where a notable NLP-Engine was developed, and positions as a Data Scientist at Carnegie Mellon University, Teaching Assistant, Data Science Intern at Khan Academy, Pintern at Pinterest, and Software Engineering Intern at Square. Kornilova holds a Bachelor's Degree in Computer Science from Carnegie Mellon University and graduated from Thomas Jefferson High School for Science and Technology.
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