Oversee all aspects of Research and Development, encompassing Engineering, Product, Design, Data, and Security.Recruited and onboarded exceptional organizational leaders, playing a pivotal role in building out their respective teams.Driving Pave’s technical strategy for Compensation benchmarking and associated data product development.

Spearheaded the transformation of the product offering to better attract and satisfy enterprise buyers.Led the maturation of the Engineering organization, fostering a culture of urgency, speed, and delivery.Revitalized the Data Science organization to effectively execute against Pave’s ambitious data strategy.Managed multiple 0-1 initiatives across data product development and SaaS workflow products, driving the evolution of Pave into a comprehensive end-to-end compensation platform with notable market success.

Led the Engineering organization at Hover, encompassing the Applied Research Group (ARG), Product & Platform Engineering, Infrastructure, Security, and Technical Product Management. Significant emphasis on business leadership, software delivery, and product strategy/partnership.

As the primary technical leader for the company's core technology, I founded and led the Applied Research Group (ARG), which developed the foundational technology driving Hover’s success.Managed all aspects of development, including Mobile, Platform, Infrastructure, Computer Vision, Perception, and Machine Learning.Guided numerous research efforts from conception through to production deployment.In addition to leading the group and executing the technical vision, I served on the executive team, collaborating with other senior leaders to navigate Hover’s growth from pre-revenue to a $100M business.

Built and led multiple teams responsible for the machine learning and computer vision technologies that enabled 3D reconstruction of residential buildings, supporting a variety of product use cases.Defined the technical strategy for Machine Learning and 3D reconstruction of both exterior and interior spaces using mobile phone imagery, as well as associated QA processes.Led efforts in on-device guidance and scene understanding, pushing the boundaries of mobile-based 3D capture.

Machine Learning, Computer Vision, Deep Learning