Michael Yudelson

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.SkillsProgramming Languages: Python, C/C++, Java, SQL, R, MatlabTechnologies: AWS, Docker, TensorFlow, PyTorch, TransformersMethods: Database Design, Data Modeling, Data Management, Pattern Recognition, Statistical AnalysisSoft Skills: Collaboration, Communication, Strategic Thinking, Emotional Intelligence, Mentorship, LeadershipPublicationsAuthor of 100+ peer-reviewed publications (h-index 28), bridging academic research and commercial AI systems.

Experience

1. Staff Ml Engineer Large Language Models, Retrieval Augmented Generation, Prompt Engineering

   Chegg Inc.

   Jun 2022 — Present

   Initiated and led retrieval augmented generation prompt development consisting of 10+ large-scale experimental runs and authoring 3 custom quality checks- Automated Large Language Model prompt evaluation and report production; time taken reduced 100-fold- Spearheaded fine-tuning an Large Language Model for extracting expressions boosting service component’s accuracy by 11%

Education

• Institute of Russian Political Culture, Moscow, Russia

  Master of Arts - MA, International Political Science, Journalism, and Media Technologies

• University of Pittsburgh School of Computing and Information

  Ph.D., Information Science

  2004 — 2010