Hello, I am Michael Yudelson
As an AI Solutions Architect and Transformation Specialist, I navigate technological uncertainty to bridge the gap between advanced research and industry. I leverage my experience in academia and consulting to turn machine learning breakthroughs into scalable, high-impact systems for the finance, health, and education sectors.
Artificial Intelligence Strategy
High-Volume Data and Data-Driven Decision Systems
AI and Machine Learning Product Development
Thought Leadership and Technology Product Development
Scalable Machine Learning Systems
Data Infrastructure and Processing Pipelines
Applied Statistical Modeling
Translating Research into Production Systems
Decision Intelligence Systems
End-to-end design of scalable cloud infrastructure and automated ML pipelines for a social media publishing enterprise. Development of custom, audio/video-processing tools, implementing advanced LLM-as-a-Judge solutions and automated decision-making support.
Defining the roadmap for an MVP and dealing with technological uncertainty. Leading the full-stack development and architecture for an AI product.
Focusing on the orchestration of enterprise-grade RAG pipelines and the standardization of evaluation frameworks for large language model prompting and performance reporting. Driving the engineering of high-precision, fine-tuned models specialized in complex data extraction and the automation of pedagogical content analysis within large-scale digital learning environments.
Orchestrated efforts on ideation, design, and implementation of ML/AI-based product features offering automated answer-scoring capabilities as one of only two ML engineers in the company.
Driving the development and architecture of diagnostic student learning models for large-scale educational platforms. Overseeing the design of comprehensive analytical pipelines to ensure the rigorous validation and performance of complex modeling suites.
Driving the development and scaling of high-concurrency affect detection systems capable of supporting tens of millions of users globally. Architecting hybrid teacher-machine tutoring frameworks that facilitate seamless automated hand-offs, while leading the strategic acquisition and curation of large-scale longitudinal datasets for advanced theoretical and practical investigations.
Leading the development and optimization of high-impact algorithms serving over half a million users annually to significantly streamline the user experience. Directing cross-functional analytical initiatives and the orchestration of large-scale data modeling pipelines to drive institutional scientific leadership and enterprise-level data strategy.
Leading the development of state-of-the-art methods for modeling complex knowledge acquisition and the creation of high-scale, open-source Bayesian modeling tools. Driving institutional thought leadership through the publication of highly-cited research in top-tier peer-reviewed journals and international conference proceedings. Advisors Kenneth R. Koedinger and Geoffrey J. Gordon.
Defended Doctor of Philosophy thesis Providing Service-Based Personalization in an Adaptive Hypermedia System (advisor Peter L. Brusilovsky).
Defended Candidate of Technical Sciences dissertation Models and methods of advanced online training operating personnel of Computer Aided Design systems at Ivanovo State Power University, Russia (advisor Evgeny R. Panteleev).
Graduated Summa Cum Laude from the Department of Computer Aided Design, Manufacturing and Engineering, School of Information Sciences, at Ivanovo State Power University, Russia.