Shiyong Hu

Senior Software Engineer

Seattle, Washington, United States11 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in E-commerce and Streaming Services.

Backend DevelopmentRecommendation SystemsMobile DevelopmentData ProcessingDatabase ManagementData Analysis

C/C++JavaPythonData MiningJavaScriptNoSQLAndroidRuby on RailsMapReduceMatlabHTMLCSSPHPSQL

11 yrs 5 mos

Total Experience

3 yrs 9 mos

Average Tenure

6 yrs 5 mos

Current Experience

Dec 2019 – Present · 6 yrs 5 mos · Greater Seattle Area · Hybrid

Tech Lead for Games Discovery
Led innovation projects in content discovery and recommendation, including recommendation algo, Top 10, Kids Discovery, My Netflix, personalized screen saver and profile gate
Identified bottlenecks and optimized latency, CPU usage, network usage for Netflix Discovery Backend Systems

C/C++JavaPythonData MiningBackend DevelopmentRecommendation Systems

2 roles

Oct 2017 – Nov 2019 · 2 yrs 1 mo · Greater Seattle Area

Worked on AWS based backend, JavaScript webview and Android native code; launched AmazonSmile in Android Amazon app
Led backend design, implementation and launch of Charity List program (physical donation to charities through wishlist); used NoSQL database and in-process cache for hotspots
Led AmazonSmile peak planning for Prime Day

JavaScriptNoSQLAndroidBackend DevelopmentMobile Development

Aug 2015 – Sep 2017 · 2 yrs 1 mo · Greater Seattle Area

Re-structured data processor for charity data to make it modularized and configurable, thus easy to expand to new countries
Internationalized AmazonSmile and launched in first marketplace outside of US
Owned a company-wide fraud detection service that enforces compliance on various kinds of disbursements from Amazon and other highly configurable fraud detection
Refactored and developed new features to Ruby on Rails website, Java services and map reduce jobs

Ruby on RailsJavaMapReduceBackend DevelopmentData Processing

Feb 2014 – Dec 2014 · 10 mos · Ann Arbor, Michigan

Reduced over 90% query latency on databases by building a robust database tuning framework, in which I worked on over 600 source code files to implement modules of robust optimization, query workload analysis and project-level refactoring in Java, Matlab, shell script and Python
Generated massive synthetic datasets and conducted comprehensive experiments on 300GB level databases
Enable user to apply the framework on Oracle database by writing an API integrating with Oracle Tuning Advisor
Manage databases on various operation systems and database servers

JavaMatlabPythonDatabase ManagementData Analysis