• Owned the end‐to‐end design and implementation of a real‐time advertising policy distribution system powering Amazon Ads serving, enabling sub‐minute propagation of policy updates across downstream services and unlocking $9.1MM annualized revenue; received the organization’s Golden Goose award for impact.

• Led the architecture and rollout of a large‐scale automation initiative for Amazon’s largest ads program, partnering with product managers to launch across 13 marketplaces, reducing human moderation workload by more than 10% and saving Amazon $1M/year.

• Unblocked organization‐wide launch of a new moderation architecture by diagnosing and resolving a critical distributed‐systems bottleneck, increasing ads moderation efficiency by 64% under peak production traffic.

• Drove an operational excellence initiative focused on CI/CD pipelines and automated testing, reducing pipeline sprawl and manual effort while saving developers 1200 hrs/year.

• Designed and built a distributed quality‐scoring service for Brand Posts ads in the core ad ranking pipeline, reducing low‐quality impressions by 5 billion (50%) at scale.

• Built and productionized a machine learning model to automate low‐quality ad detection, preventing shutdown of the Brand Posts ads program and protecting a business responsible for $16M of annual revenue.

• Contributed to two research papers for Amazon’s internal machine learning conference, collaborating with applied scientists to evaluate model performance and production trade‐offs.

• Led a re‐architecture of the advertising policy storage layer, migrating from legacy infrastructure to AWS DynamoDB and increasing data storage capacity by 50x.

Judging a hackathon where participants will have two weeks to work on a project addressing one or more of the United Nations Sustainable Development Goals (UN SDGs). This could be anything ranging from an app or a website to creating a physical product or drafting a business plan.

Hackathon details - https://gnec-hackathon-2023.devpost.com/

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