Conduct applied AI research in generative AI, large language models, vision, and signals; created hands-on, project-based course series on LLMs, GenAI, and diffusion models taught across HIT (School of Computer Science and Digital Healthcare Department) and Bar-Ilan University (undergraduate and graduate programs); supervise M.Sc. students in Afeka College of Engineering's Intelligent Systems program.

Built and hired the data science team; led big-data AI for vehicle telematics across signal, audio, graph, anomaly detection, and onboard-model work; led OEM-partner projects including engine-health monitoring (Ford), steering-by-wire monitoring (Hyundai Mobis), in-cabin acoustic fault detection (Renault), fuel-consumption modeling (Aptiv), and fault-sequence analysis (M.A.N.); engaged directly with customers to shape requirements; led the definition of a no-code product for onboard monitoring models.

Led AI for an enterprise document-management product designed to help organizations handle the growing amount of information in Office 365; managed a cross-functional data-science and engineering team and shaped the research agenda across large-scale text understanding, user-behavior modeling from Office-graph signals, and recommendation under limited supervision.

Built and led the research team at Motorola Solutions' first AI lab in the Innovation Center; designed and led execution of the roadmap across video, text, speech, and public-safety AI; established internal cross-functional partnerships and academia-industry collaborations funded by Israel Innovation Authority programs and binational grants.

Led financial data-science projects: bond-price prediction for auctions, FX causality analysis and trader-informativeness classification, anomaly detection for trader compliance auditing, and trade-to-wire matching via correlation and constraint optimization.

Founded ventures and led hands-on intelligent-system work in search, multimedia, video streaming, wireless communications, telecom, predictive modeling, handwriting recognition, imaging, inspection, and signal acquisition.