ML Platform - Technical Product Manager• Manage product development within the AI Engineering group by creating infrastructure that accelerates ML development and enhances Mobileye’s algorithm life cycle.• Lead product strategy that facilitates the research and deployment of advanced ML models, collaborating with research, DevOps, and software teams to support over 50 development teams and stakeholders.

MLOps Platform - Product Manager• Directed the strategic vision of the MLOps Platform, a comprehensive ML lifecycle suite covering data management, model development, training, and serving, enhancing productivity for data scientists.• Reduced support inquiries by 43% through user interviews addressing pain points, refactoring knowledge bases and documentation, and boosted GPU usability by 160% with optimization capabilities for ML model training using Run:AI.• Increased platform adoption and new users by 120% by establishing and managing a data science community of over 250 members, including collaborative events with top industry experts like NVIDIA, Run:AI, Google Cloud, AWS and more.• Collaborated with UX, full-stack, and MLOps teams to develop and implement an AI Portal, offering trending open-source models like LLMs as API endpoints.

This position was held as a contractor via Abra open-source.

ITSM Platform - Product Manager• Led product roadmap initiatives, designing and implementing workflow solutions for IT services to enhance operational efficiency and clarify organizational responsibilities and policies.• Developed a dashboard enabling users to track incidents and requests, facilitating data-driven analysis to identify frequent malfunctions and initiate targeted repair and maintenance programs, thereby improving system reliability and performance.• Optimized service request handling processes through automation, reducing service owner workload and enhancing overall service efficiency.

• Identified and promoted reliable components through cross-team collaboration, resulting in increased MTBF. • Reduced MTTR by over 50% through efficient root cause analysis and proactive monitoring strategies. • Implemented automation strategies, reducing NOC alerts requiring human attention by approximately 35%, thereby enhancing operational efficiency. • Led the implementation of an OpenShift container platform to enhance system survivability and stability, facilitating the transition to microservices architecture in collaboration with development teams.