Lead a team of Software Engineers, Software Engineering Managers, and Technical Program managers that are building, deploying, and operating Microsoft Defender products in Sovereign Clouds. Embed engineers across Microsoft Defender products to contribute directly to the product and become experts.Define OKRs and strategy for Region Expansion across Sovereign Clouds and commercial cloud regions.Grow a team from 10 to 50 by building multiple teams, on-call rotations, and scale the impact across a 2,000+ person organization. Support Microsoft Defender products in 24x7 on-call rotations.Partner closely with Microsoft Defender Research to empower Defenders in Government and Sovereign environments with the latest and most effective security technologies.

Led and managed a team of engineers responsible for supporting 40+ critical Azure Edge and Platform services, utilizing a range of technical expertise across software, site reliability, and service engineering.Participated in and owned on-call rotations of 20+ engineers, ensuring SLAs were met and maintaining high-quality service delivery.Managed and mentored a team of 6 engineers, following agile methodologies such as Azure semester planning and Scrum, while delivering software, automation, bug fixes, and other improvements on a two-week development cycle.Quickly became the subject matter expert for several inventory and compliance services and cross-trained a distributed team across multiple regions, including both east and west coasts.Collaborated closely with worldwide engineering organizations to ensure seamless integration and interoperability across the Azure Edge and Platform service suite, utilizing effective communication skills to maintain productive relationships.Contributed to engineering systems, data platforms, infrastructure, and knowledge management, optimizing team efficiency and productivity.Implemented best practices and maintained high standards for quality and performance, resulting in successful delivery of services and customer satisfaction.

•Responsible for algorithm analysis and exploration of cutting-edge technologies such as machine learning, optimization, and scientific computing, and track the industry-leading level•Combined with specific computing hardware, study the implementation and optimization of classical numerical calculation methods•Participate in the research and prototype development of application-oriented deep learning, algorithm implementation and optimization of high-performance computing, AI and other computing system analysis and other technical fields