Leading the Superintelligence vision at PayPal AI team. Managing multiple agentic AI products and collaborating with AI engineers and researchers on the end-to-end agentic platform.

Product: Aurora Driver (Aurora Driver is a self-driving system with a common core of hardware and software designed to adapt to a broad set of vehicle types)

Goal: deliver the benefits of self driving technology safely, quickly and broadly

• Verification and validation: Led product strategy for verification and validation of the Aurora Driver. This was critical to ensure requirements are met via artifacts (tests, documents etc.) for nominal and off-nominal driving scenarios for quarterly launches.

• Simulation tools: Owned product vision and requirements for multiple features for Driver simulation tools in order to operationalize the strategy for verification and validation.

• Autonomy data: Managed company wide programs for testing of the motion planning systems, which helped close safety case claims for the company.

• Cost savings: Developed strategies for cost savings for test set management which helped save ~1.4 million dollars annually. This involved initiating changes to optimize the Driver release process.

Product: Google Business Messages (Business Messages is a rich, asynchronous messaging service that enables users to engage with brands from a variety of entry points, including Google Search, Maps, Ads, and the brand's own channels)

Goal: enable businesses to connect with customers directly via rich messaging

• Merchant and Partner Onboarding: Owned product vision and product strategy to simplify merchant and partner onboarding on Business Messages. Reduced onboarding time from ~6 days to instantaneous via automation. Owned merchant and partner consoles, and launched new features such as streamlined registration, helper bots, versioning of messaging agents, supporting automated imports from Google My Business accounts. Designed north star metrics, collaborated with business development teams and onboarded new customers (including large brands, SMBs and partners) on the channel.

• Growth: Led GTM strategy for targeting certain verticals and markets. Drove ~10x merchant growth (including large brands and SMBs) for the product, which led to ~5x session growth for messaging volume on the channel. Collaborated with Shopping, Search and Ads teams for unlocking new entry points for the product. Collaborated with stakeholders across multiple orgs at Google, handled shifting priorities, conducted pilot programs and evaluated metrics prior to rollout.

• Conversation quality: Led product roadmap for platform features to improve the speed, efficiency, quality and privacy of conversations on the channel. Led consumer UXR studies and interviewed merchants and partners to prioritize key features on the channel. Aligned multiple cross-functional teams and led these features from design to implementation, testing and launch: HIPAA compliance (unlocked health vertical on the channel), Handover protocol (allowed multiple partners to collaborate on the channel), File sharing on the channel, Conversational AI powered by DialogFlow.

Product: LinkedIn Recruiter Search (a specialized tool designed for recruiters and hiring professionals to find and engage with potential job candidates on LinkedIn)

Designed, trained, validated and deployed ML models (neural network based models) to improve ranking of relevant candidates in Recruiter Search. This improved the performance significantly from the base model (measured by p-value).

Team: Developer Platform Team

Product: Developer Portal (developer.linkedin.com) for third party app integrations

Developed REST APIs to support Sign in with LinkedIn features on LinkedIn’s developer portal for seamless third party app integrations (API versioning, authentication, webhooks, etc.) Led internal migrations for the team for GDPR compliance.