My organization envisions, builds, and brings an absolute-frictionless, hyper-personal, and cost-effective AV experience to our complete user ecosystem. Specifically, I lead a team of Product Managers to create & land the:1. Generative AI ridehail consumer experience [winning customers & creating loyal advocates]: in-car infotainment, mobile app, trip planning, customer support & feedback, next-gen vehicle platform user experience, and external website2. Machine learning marketplace intelligence platform [optimizing the balance of enterprise risk with customer experience by ensuring the right number of AVs are at the right place, at the right time]: routable graph & routing, supply/demand optimization & forecasting, and data science algorithms for pre-positioning, summoning, matching, pick-up/drop-off, pricing3. Fleet management commercialization [automating operational tooling experiences to reliably deliver available AV supply to meet business demand]: remote assistance, operator simulation, cloud reasoning, telephony, and operator tooling experience for in-facility fleet launches & on-road fleet monitoring4. Community interaction [demonstrating that Cruise creates value for community members in the cities of operation, becoming a trusted citizen of the roads]: first-responder & nearby-road-user to external-av user experience, public feedback intake, company website, customer data platformThis ensures that our autonomous vehicles operate as trusted citizens of the road.

Everyday Robots is an audacious moonshot at Google X to build learningrobots (built with ML at their core) that can help people with everyday tasks, everywhere, in their everyday lives.I was the Head of Product Management and built the Product Vision, Strategy, Roadmap, and led the PM organization for this incredible effort, spanning:1. Consumer Experiences (end-user robot services, tasks, human-robot interaction)2. Simulation (physics, graphics, domain randomization, real-to-sim)3. Core Robotics ML capabilities (perception: object & people segmentation, classification, prediction, tracking; manipulation: path planning, motion; navigation: mapping, localization)4. Advanced Machine Learning (reinforcement learning, learning from human demonstration, partnership with Google Brain)5. Core OS (embedded system SW, drivers, I/O, platform tools, SDK)6. Robot HW (morphology definition, sensing & compute, nVidia partnership)

TPM Lead for Mobile and Desktop VR - built and led the SW TPM team, spanning core drivers, runtime, SDK, platform, apps & experiences across Oculus Rift, Oculus Touch, Oculus Quest, and Gear VR; drove Oculus Touch to successful press & customer launches

Software PM Lead for CoreOS: built and led the SW Eng PM team focused on embedded sensors, biometrics, platform I/O connectivity, storage solutions spanning iOS, MacOS, and watchOS productsSW Integration PM for Mac: drove feature definition, specifications, and roadmaps for new ID 12" Macbook, 15" MacBook Pro

PM for Windows 8: drove feature definition, functional requirements, metrics, specs for a low-power Bluetooth stack solution to unlock Windows 8 on ARM & x86-based SoC platforms; led a cross-functional effort on wireless media sharing solution for Windows 8, specifying the discovery experience, feature specs & requirements, roadmap, and milestones

EECS graduate student researcher: designed and analyzed memory architectures and arithmetic logic units that incorporated a new integrated circuit technology based on nanometer-scale electro-mechanical (NEM) semiconductor devices; developed 5GHz digital circuitry for a low-power 60GHz wireless transceiver