• Led the sequencer project, a core component responsible for sequencing all events in the system and able to distribute >350MB/s of data with microsecond-level latency.

• Eliminated a category of system-wide outages during high volume by devising patterns for service decoupling and introducing a replay-and-catchup mechanism for slow consumers.

• Architected the notifications platform, delivering user-configurable, real-time alerts on system events.

• Introduced and owned a general-use client monitoring dashboard, unifying machine, system, and service-level metrics and significantly reducing incident resolution time across all teams.

Cloud Bigtable - a fully-managed, scalable, distributed NoSQL database service designed for high throughput and low latency

• Re-secured a top-tier customer’s business as part of a three-person emergency task force, diagnosing root causes for 18 of 20 raised latency issues and composing a latency debugging playbook.

• Investigated and enforced user isolation in the service layer, leading to ~30% RAM savings.

Google Assistant - Owned first-party developer API for task fulfillment, supporting 30+ feature development teams.

• Led project to audit and redesign task fulfillment API to streamline iterative prototyping of new features, bridging platform and development teams.

• Organized large-scale refactoring efforts across teams to combat crippling technical debt.

YouTube promotions platform - Developed various infrastructure systems in a fast-paced platform team for YouTube Premium promotions

• Revamped testing framework, leading to a near-complete elimination of mistargeted promotions.

• Integrated a new datapush system, reducing configuration turnaround time from days to minutes.

Assisted in the design and development of various infrastructure systems in the fast-paced environment of YouTube's in-app promotions platform.

• Established framework for dynamic promotions that adapt to the user’s state, allowing for personalized promotions and deeplinks referencing the current context