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Matthew Zhao

@matthewzhao

Senior AI Engineer at Zapier building agentic AI workflows that support 50K monthly workflows.

At Zapier, I architected an Agentic AI platform that orchestrates autonomous agents and durable workflows, supporting 50K monthly workflows. I also designed RAG pipelines that help agents deliver more relevant, knowledge-grounded responses.

Previously, at Google, I designed ML inference services and real-time feature infrastructure, reducing P99 inference latency by 32%. At Amazon Lab126, I delivered edge computing services and strengthened device-cloud reliability.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

Zapier

Oct 2023 - Present (3 years)

Architected a cloud-native Agentic AI platform using Python, LangGraph, and Amazon RDS, increasing workflow completion rates from 82% to 91%. Designed RAG pipelines and scaled distributed AI agent execution, reducing P95 latency by 31%.

Python LangGraph Lang Chain Pinecone OpenAI SDK Anthropic SDK RabbitMQ Kubernetes KEDA Amazon RDS PostgreSQL TypeScript MCP JSON schema OAuth Terraform Prometheus Langsmith Pytest

Senior Software Engineer - AI/ML

Google

Nov 2020 - Oct 2023 (2 years 11 months)

Designed distributed ML inference services using C++, TensorFlow Serving, and GKE, reducing P99 latency by 32%. Engineered real-time feature pipelines and automated ML training with TFX and Vertex AI, reducing deployment lead time by 60%.

C++Java TensorFlow Serving TensorFlow GKE gRPC Google Cloud Bigtable Google Cloud Pub Sub Apache Beam Dataflow BigQuery Vertex AI Python TFX Cloud Build Cloud Monitoring

Software Development Engineer II

Amazon Lab126

Aug 2017 - Oct 2020 (3 years 2 months)

Delivered low-latency edge computing services using C++, Java, and Android Binder, reducing P95 command latency by 25%. Implemented cloud-based monitoring pipelines and enhanced OTA software deployment, increasing update completion from 97.9% to 99.1%.