Zuohang Yu

Software Engineer

Seattle, Washington, United States9 yrs 10 mos experience

Highly Stable

Key Highlights

Led Contextual Targeting generating over $200M revenue.
Drove FireTV adoption contributing $100M revenue.
Mentored graduates to successful promotions.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in Cloud Computing and Data Management.

Contact

Skills

Core Skills

Cloud ComputingAd ServingSoftware DevelopmentProject ManagementDatabase ManagementBig DataData ProcessingSystems Configuration

Other Skills

Infrastructure DesignAd Serving EnginesMachine LearningSQLNoSQLKubernetesData GovernanceLinuxVirtualizationJavaSoftware Development Life CycleABAPDatabase DesignMicrosoft OfficeMicrosoft Excel

About

Amazon Ads entrusted our team to lead the design and delivery of Contextual Targeting, impacting annual revenue by over $300M through innovative solutions like Product & Category Targeting and FireTV adoption. These efforts relied on extensive expertise in cloud computing, scalable infrastructure, and advanced ad-serving engines. With over four years at Amazon and prior leadership roles at Grab, I have contributed to high-impact, data-driven projects and scalable architectures. My mission is to enable reliable, transformative technologies while fostering collaboration and innovation within teams.

Experience

9 yrs 10 mos

Total Experience

1 yr 5 mos

Average Tenure

Current Experience

Amazon

Software Engineer - Advertisement

Sep 2020 – Oct 2025 · 5 yrs 1 mo · Seattle, Washington, United States

Leadership in Contextual Targeting: Led the design, implementation, and delivery of Contextual Targeting at Amazon Ads, including Product & Category Targeting, generating over $200M in annual revenue.
Expansion to FireTV and Entertainment: Drove the adoption of contextual targeting in FireTV and later in the Entertainment field, contributing to over $100M in annual revenue.
Infrastructure Design: Designed and implemented nearly the entire Contextual Targeting Infrastructure, enabling scalable and reliable delivery for all contextual ad products.
Index-Based Ad Serving Engine: Continuously improved the Index-based Ad Candidate Serve Engine, the central component of Amazon Ads, ensuring high performance and scalability.
Key Role in Ad Sourcing: Became a pivotal member of the Ad Sourcing Team at Amazon Demand Tech, contributing to high-level design and implementation for critical ad-sourcing mechanisms.
ML Model Inference: Currently part of the Amazon Ads ML Team, responsible for managing model inference systems that handle tens of millions of requests per second, ensuring robust and efficient performance across Amazon Ads.
Mentorship: Mentored 7 new graduates, guiding them to promotions and fostering lifelong professional friendships.

Cloud ComputingInfrastructure DesignAd Serving EnginesMachine LearningAd Serving

Grab

2 roles

Senior Software Engineer

Oct 2019 – Sep 2020 · 11 mos

Tech Lead for innovative data-driven projects, driving end-to-end development and delivery.
Championed architectural decisions and ensured the project’s scalability and reliability, delivering high-impact solutions aligned with organizational goals.

Software DevelopmentProject Management

Software Development Engineer - Data Insight

Aug 2018 – Oct 2019 · 1 yr 2 mos

Build the online data store at Grab from scratch with side cars such as a Kubernetes platform, cache, search, Data Governance
First and lead engineer. Design and develop the project from the ground up. Built or contributed to most of the critical features in the project.
Lead engineer of this system which providing a unified abstraction for SQL and NoSQL stores to all company services and data science/processing regardless of their tech stacks. Introduced a query language that provides the API capable of abstracting that works with both SQL and NoSQL. Migrated and operated another critical data service safely and remains stable (failure would cause the company's main business to go down) plus contribute to this giant micro-service eco at Grab
Strong knowledge and experience in various popular databases on the market today. SQL and NoSQL.
Work directly with customers and infosec in different time zone to populate the eco-system and ensure the data security satisfies the company goal.
Special Ops that does anything to drive the project to success. International traveling, timezone-less meetings, crazy hours (11 am to 4 am), etc. I volunteered and enjoyed it just for the record.
Technologies I use for my daily activities:
SQL: MySQL, AWS Aurora
NoSQL: Cassandra, AWS DynamoDB, ScyllaDB
Kubernetes: EKS, un-managed K8s
Security: PCI, Data Classification
Monitoring: Datadog, Kibana
Cloud stacks: AWS

SQLNoSQLKubernetesData GovernanceDatabase ManagementCloud Computing

Amazon

Software Development Engineer

Jul 2017 – Aug 2018 · 1 yr 1 mo · Greater Seattle Area

Worked on a Customer Behavior Big Data platform at Amazon scale, which plays an essential role for the data-driven company.
Our main service collects petabytes of customer experience data daily and processes it into a compact format with Hadoop/Spark.
Thousands of customers depend on our data to make critical business decisions every day.

Big DataData Processing

Sap

Software Developer Intern

Jun 2016 – Sep 2016 · 3 mos

Software development for SAP Best Practice Explorer using JAVA
Designed and wrote automatic software block testing stories using testing framework
Experienced with enterprise level software development life cycle and packaging
Worked through the Intellectual property right protection for SAP Best Practice Explorer

JavaSoftware Development Life CycleSoftware Development

University of minnesota duluth

Undergraduate Researcher

Oct 2015 – Nov 2016 · 1 yr 1 mo

Built three host servers and deployed into an existed server cluster
Linux systems’ configuration, setups, and virtualization preparatory work
Created cloud & virtualization environment through Cloud Stack
Configured servers’ structures, and create a resource pool
Created and managed virtual machines on different platforms
Tested Virtual machines’ performance in different virtualization environments
Set up PCI-passthrough, and collected data of GPU & APU performance through UNIGINE Heaven 3D-engine

LinuxCloud ComputingVirtualizationSystems Configuration

Sap

Computer Science Intern

Jun 2015 – Sep 2015 · 3 mos · Shanghai, China

Experienced in SAP HANA database
Trained in programming in ABAP and designing the database structure
Instructed in setting up SAP development environment for multiple IDEs and languages
Administrator of SET PackageFramework department in SAP JAM
Tracking and recording processes of all the projects in the department
Designed SAP JAM web pages for the department, collected and filtered files
Hosted a campus-wide session of SAP JAM

ABAPDatabase DesignDatabase Management

Systex

Computer Engineer Intern

Jun 2014 – Sep 2014 · 3 mos · Shanghai, China

Well informed in the Internal technology of Computer Virtualization and Cloud Computing
Practiced installing and using popular computer systems, software to create a virtualization environment
Joined an engineering team and attended the solution meeting of actual customers, listened and exchanged ideas with colleagues
Traveled to the customers’ locations and helped deploy the solutions
Translated documents, web pages and e-mails from English to Chinese
Collected and filtered files from the system servers and reported to the manager weekly

VirtualizationCloud Computing