Michael Yudelson
Staff Ml Engineer Large Language Models, Retrieval Augmented Generation, Prompt Engineering at Chegg Inc
Based in Pittsburgh, United States
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Seniority
Other
Department
Other
Location
Pittsburgh
Industry
Higher Education
Company size
7.2K
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Background
About Michael Yudelson
As a seasoned Data Scientist specializing in Machine Learning and Artificial Intelligence, I hold a Ph.D. in Information Science and have a history of championing and delivering impactful, data-driven solutions. My work has regularly enhanced business performance, boosted client engagement, and tangibly reduced operational times. I excel in transforming complex data into actionable insights, leveraging machine learning algorithms, and leveraging data to foster strategic growth and efficiency. At Chegg, Inc, I led the development of advanced ML models that improved key components by 11% and deployed automated pipelines that drastically cut processing times. At BrainPOP, Inc, I single-handedly implemented ML infrastructure for automated scoring, emphasizing my ability to work with scarce resources. At ACT, Inc, I developed a diagnostic model that enabled a new product, doubling the client base. My experience extends to academia, where I played a crucial role in scaling educational technologies to serve millions of users, as demonstrated by my tenure at Carnegie Mellon University and Carnegie Learning, Inc. My academic research contributions have resulted in over 90 peer-reviewed publications with 2400 citations. I am proficient in both the technical and strategic aspects of data science. My leadership and collaborative skills enable me to deliver large-scale projects, mentor teammates and subordinates, and drive innovation. I am seeking a staff data scientist / AI and machine learning engineer role where I can leverage my experience, foster data-driven decision-making, and contribute to the strategic growth of an organization. Feel free to connect with me on LinkedIn or Twitter at @myudelson. Skills Programming Languages: Python, C/C++, Java, SQL, R, Matlab Technologies: AWS, Docker, TensorFlow, PyTorch, Transformers Methods: Database Design, Data Modeling, Data Management, Pattern Recognition, Statistical Analysis Soft Skills: Collaboration, Communication, Strategic Thinking, Emotional Intelligence, Mentorship, Leadership
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