Mengqi Wu

About Mengqi Wu

At Amazon Advertising,I build AI-powered Ads Agents that operate at the intersection of large-scale advertising systems, machine intelligence, and production-grade distributed infrastructure. My work focuses on building AI agents that understand trader intent, reason over campaign signals, and generate actionable recommendations in real time—helping traders manage large advertiser portfolios, optimize budget allocation and ultimately maximize reach efficiency and revenue performance. These systems sit directly within mission-critical advertising workflows, where correctness, latency, and business impact are non-negotiable. Technically, my background spans:• Designing event-driven backend systems using AWS-native infrastructure (Lambda, DynamoDB, SNS/SQS, API Gateway, CDK)• Building intent-aware agent orchestration layers with tool invocation, workflow decomposition, and dynamic execution planning• Leveraging AI-assisted tooling to generate automated test coverage across CI/CD pipelines, improving release safety and reducing regression risk• Developing full-stack systems using React / Next.js / TypeScript, building scalable RESTful APIs, designing data models, and owning end-to-end feature delivery• Operating low-latency systems with strict requirements around correctness, fairness, auditability, and advertiser trustI am particularly interested in agentic architectures—systems that do not just generate text, but reason, decide, invoke tools, and execute structured workflows safely in production environments. In advertising contexts, this means enabling agents to bridge business objectives (budget targets, reach goals, audience constraints) with real-time performance signals at scale.Beyond implementation, I care deeply about operational excellence: observability, failure isolation, guardrails, model evaluation, and measurable business impact. I believe effective AI agents are not demos—they are resilient production systems that must be interpretable, continuously evaluated, and tightly integrated with core business workflows.I’m excited about the future of autonomous systems in advertising and commerce, especially where distributed systems, ML, and human-in-the-loop design converge to unlock smarter capital allocation and more efficient marketplace dynamics.

Experience

1. Software Dev Engineer Ii

   Amazon

   Dec 2022 — Present · New York, NY, US

Education

• New York University

  Master's degree, Computer Science

  2019 — 2020

• Fuzhou No.3 High School

  High School Diploma, science

  2012 — 2015

• University of Electronic Science and Technology of China

  Bachelor's degree, Computer Software Engineering

  2015 — 2019

• National University of Singapore

  Research Internship, Big data

  2016 — 2016