Yang Yang

About Yang Yang

Software Engineer with 7+ years building large-scale AI/ML and distributed systems at AWS, specializing in generative AI infrastructure and high-performance computing. Currently working at Apple as Machine Learning Engineer. Earlier in my career, I led infrastructure and reliability improvements for AWS Simple Notification Service (SNS) and Simple Workflow Service (SWF), focusing on distributed systems optimization and multi-region deployments. Later in my career, I worked on ML infrastructure at Amazon Ads, architecting GPU inference platforms for deep learning models. Previously built foundational generative AI features for Amazon Bedrock Studio, including RAG-enabled knowledge bases and multi-model playgrounds. Also contributed to Amazon Q Investigations, designing graph database infrastructure.Core expertise:• Generative AI & LLM Applications (Amazon Bedrock, RAG, Vector Databases)• ML Infrastructure & GPU Optimization• Distributed Systems & Microservices (high availability, low latency)• Cloud Architecture (AWS: Lambda, ECS, DynamoDB, S3, CDK, Terraform)• Infrastructure as Code & DevOpsRecognized as AWS Top Talent Performer (20••••24) for technical contributions and leadership.Technical Skills: Python, Java, TypeScript, C++, SQL | AWS | Docker, Kubernetes | TensorFlow, PyTorchSimon Fraser University, B.Sc. Computer Science (2019)Open to opportunities in Generative AI, AI/ML infrastructure, distributed systems, and technical leadership roles.

Experience

1. Senior Machine Learning Engineer

   Apple

   Mar 2026 — Present · Seattle, WA, US

Education

• Simon Fraser University

  Bachelor of Applied Science - BASc, Computer Science