Steve Huang

Senior Software Engineer

Santa Clara, California, United States4 yrs 9 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building AI-driven compliance solutions.
Proven track record in full-stack development.
Strong background in risk detection and security infrastructure.

Stackforce AI infers this person is a SaaS and Cloud Computing expert with a focus on AI and compliance solutions.

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Skills

Core Skills

Machine LearningSystem ArchitectureAiFull-stack DevelopmentSearch SolutionsRisk Detection SystemsNlpSecurity InfrastructurePlatform DevelopmentSdk DevelopmentPlugin DevelopmentData EngineeringApi Development

Other Skills

C++Workflow AutomationReactPythonAWSSOLRTypeScriptNode.jsScalaSpark SQLJavaC#SQLLinuxVisual Studio

About

I am a Senior Software Engineer at Meta specializing in the architecture of high-impact AI solutions for regulatory and risk domains. I am comfortable working on a 0 to 1 environment. My professional journey has been defined by a transition from traditional Trust & Safety engineering to building cutting-edge Generative AI applications that automate global compliance workflows.

Experience

4 yrs 9 mos

Total Experience

1 yr 2 mos

Average Tenure

2 yrs 4 mos

Current Experience

Eightfold

Software Engineer

Apr 2023 – Jan 2024 · 9 mos · Santa Clara County, California, United States · Hybrid

Full-Stack Development: Owned the end-to-end technical stack utilizing a modern React frontend supported by Python Flask REST APIs and AWS infrastructure.
Scalable Search Solutions: Implemented and optimized enterprise-scale search functionality leveraging the SOLR platform to deliver high-performance data retrieval.

ReactPythonAWSFull-Stack Development

Google

Software Engineer

Jan 2022 – Mar 2023 · 1 yr 2 mos · Mountain View, California, United States

Risk Detection Systems: Enhanced the "In-depth Review" project to detect and enforce policies against high-risk mobile applications, protecting the global Play Store ecosystem.
Security Infrastructure: Built automated safeguard modules in C++ to optimize review resources and increase the detection of abusive applications.
Advanced NLP Implementation: Trained BERT-based NLP models to identify app abuse patterns early through the analysis of large-scale user feedback and reviews.
Testing Frameworks: Designed and implemented a C++ A/B testing framework to streamline agile model iterations for the Android App Risk team.

C++NLPMachine LearningRisk Detection Systems

C3 ai

Software Engineer - Platform

Jul 2021 – Jan 2022 · 6 mos · Redwood City, California, United States

1. Designed and implemented a Jupyter Lab extension which will allow different Jupyter pods browsing a shared file system, using TypeScript and Python.
2. Improved server’s Python SDK performance by 20%.
3.Wrapped Babel.js as a plugin using Node.js to support JavaScript transpiling on server side.

TypeScriptPythonNode.jsPlatform Development

Amazon

Software Engineer Intern

May 2020 – Aug 2020 · 3 mos · Seattle, Washington, United States

1.Designed a Data Ingestion Pipeline from high level to low level.
2.Implemented Data Ingestion Pipeline to migrating data between Amazon data warehouses and AWS Dynamo DB using Scala, Spark SQL.
3.Implemented APIs for Data Service to do CRUD operations in AWS Dynamo DB using Java with Guice as dependencies injection framework.

ScalaSpark SQLJava