Yunzhao Yang

Experience

1. Sr Mle & Mle Manager at Aws Connect Science

   Amazon Web Services (AWS)

   Sep 2022 — Present · Seattle, WA, US

   Serving in a multifaceted leadership role as Chief Machine Learning Engineer, Technical Lead for AWS Entity Resolution (AER), manager of MLEs and Subject Matter Expert (SME) in big data, where I drive ML innovation while managing a high-performing team of Machine Learning Engineers and collaborating with Applied Scientists- Technical Leadership: Aachitected and spearheaded the end-to-end ML infrastructure ecosystem that serves as a blueprint for AI-driven solutions, encompassing scalable DataLake architecture, semi-automated annotation workflows, secure training environments, and production-grade matching systems. Also established technical standards prioritizing scalability, fault tolerance, and computational efficiency providing low-cost, low-latency customer experience- People Leadership & Management: lead a core team of 4 MLEs while scaling management responsibilities and mentor and develop technical talent for up to 20 SDEs cross-org- Operational Excellence: owned complex assurance reviews across security, finance, legal, and privacy domains, processed multi-billion records with zero failure in 2025, and achieved top #1 OE efficiency with the lowest operational burden—representing just 2% of org-wide operational overhead.2. Created and open-sourced \"Declarative Data Pipeline\"(DDP), an innovative big data framework submitted for publication to MLSys conference 2026. DDP pioneered a new mentoring model for building efficient, robust data pipelines while enhancing collaboration between Machine Learning Engineers and Applied Scientists. The framework optimizes overall throughput with integrated ML support for BERT and LLMs, leveraging multi-platform efficiency through ONNX, AWS DJL, and Intel OpenVino on CPU, complemented by Llama.cpp for GPU operations. This contribution advances industry standards for ML pipeline architecture, significantly improving data processing workflows across platforms.

Education

• Nankai University

  Bachelor's Degree, Computer Software Engineering&Finance

  2009 — 2013

• University of Florida

  Master of Science (M.S.), Computer Science

  2013 — 2015

• Nankai University

  Bachelor's Degree, Finance, General

  2009 — 2013

Skills

• Python
• Machine Learning
• Amazon Dynamodb
• R
• Aws Data Pipeline
• Mapreduce
• C++
• Algorithms
• Scala
• Django
• Objective-C
• Akka
• Google App Engine
• Software Design
• C
• Programming
• Sql
• Eclipse
• C#
• Oop
• Common Lisp
• Hive
• Hadoop
• Mysql
• Octave
• Databases
• Visual Studio
• Java