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Hi, I'm Lou Chen, a passionate Full-Stack AI Engineer with hands-on experience building data pipelines, ML/AI integrations, and cloud-native platforms. I enjoy turning ambitious ideas into reliable, scalable software, collaborating across teams to ship features that matter. Hi there, I work across backend services in Node.js and Python, front-end UI in React and TypeScript, and end-to-end ML workloads across GCP, AWS, and Azure. I value clean design, testing, and strong observability to deliver high-quality products.…Hi, I'm Lou Chen, a passionate Full-Stack AI Engineer with hands-on experience building data pipelines, ML/AI integrations, and cloud-native platforms. I enjoy turning ambitious ideas into reliable, scalable software, collaborating across teams to ship features that matter. Hi there, I work across backend services in Node.js and Python, front-end UI in React and TypeScript, and end-to-end ML workloads across GCP, AWS, and Azure. I value clean design, testing, and strong observability to deliver high-quality products.

Lou Chen

Full Stack Developer, Back-End Developer, Front-End Developer, +5

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Hi, I'm Lou Chen, a passionate Full-Stack AI Engineer with hands-on experience building data pipelines, ML/AI integrations, and cloud-native platforms. I enjoy turning ambitious ideas into reliable, scalable software, collaborating across teams to ship features that matter. Hi there, I work across backend services in Node.js and Python, front-end UI in React and TypeScript, and end-to-end ML workloads across GCP, AWS, and Azure. I value clean design, testing, and strong observability to deliver high-quality products.…Hi, I'm Lou Chen, a passionate Full-Stack AI Engineer with hands-on experience building data pipelines, ML/AI integrations, and cloud-native platforms. I enjoy turning ambitious ideas into reliable, scalable software, collaborating across teams to ship features that matter. Hi there, I work across backend services in Node.js and Python, front-end UI in React and TypeScript, and end-to-end ML workloads across GCP, AWS, and Azure. I value clean design, testing, and strong observability to deliver high-quality products.

Available to hire

Hi, I’m Lou Chen, a passionate Full-Stack AI Engineer with hands-on experience building data pipelines, ML/AI integrations, and cloud-native platforms. I enjoy turning ambitious ideas into reliable, scalable software, collaborating across teams to ship features that matter.

Hi there, I work across backend services in Node.js and Python, front-end UI in React and TypeScript, and end-to-end ML workloads across GCP, AWS, and Azure. I value clean design, testing, and strong observability to deliver high-quality products.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior Software Engineer at Lead Sherpa

August 1, 2018 - Present

Implemented compliant messaging setup and provider onboarding (Twilio and Telnyx). Enhanced skip-tracing workflows supporting up to 16k data points per record with tight campaign integration. Built a data enrichment layer using a waterfall normalization process across ~40 sources to improve record completeness and consistency. Designed and maintained developer-facing REST APIs for enrichment and owner mapping across individuals, LLCs, and trusts with built-in compliance signals. Supported enterprise-grade deployment and security requirements.

Software Engineer at Amazon Web Services (AWS)

April 1, 2016 - Present

Implemented no-code visual UI features in React and TypeScript, covering data ingest, ML job configuration, queue monitoring, and metadata review. Built backend services in Node.js and Python to orchestrate multi-provider ML APIs across AWS, GCP, and Azure, normalizing outputs into a consistent metadata format. Developed REST APIs for data enrichment and owner mapping across individuals, LLCs, and trusts with built-in compliance signals. Created an internal feature-launch tool enabling teams to turn Marketplace features on/off in production without code deployments. Built a scalable widget framework for reusable UI components across AWS properties. Contributed front-end work using Spring MVC and AngularJS, delivering end-to-end capabilities across the stack.

Software Engineer at RADS Software

October 1, 2014 - April 1, 2016

Built custom automation web apps to connect disparate systems, removed bottlenecks, and delivered dashboards that pulled data into a single view. Implemented internal dashboards for faster issue spotting and decision making. Led backend and frontend work to ship full-stack features in a Rails-like environment; automated data ingestion and processing pipelines and contributed to CI/CD workflows.

Senior Software Engineer at Zorroa

April 1, 2021 - Present

Led development of a no-code visual intelligence UI using React and TypeScript, including data ingest, ML job configuration, queue monitoring, and metadata review. Built backend services in Node.js and Python to orchestrate multi-provider ML APIs across GCP, AWS, and Azure, normalizing outputs into a consistent metadata format. Implemented automated asset ingestion and data quality checks, and created REST APIs for enrichment and ownership mapping. Designed scalable pipelines and CI/CD-friendly architecture, enabling reliable, observable deployments across cloud platforms. Implemented ML/AI features and integrated with front-end dashboards to support alerting and decision making.

Software Developer at Amazon Web Services

April 1, 2016 - August 1, 2018

Rebuilt key parts of the AWS Marketplace homepage as part of a major redesign to modernize layout, navigation, and feature presentation. Partnered closely with design, marketing, and business development to turn product goals into shipable UI and launch plans, coordinating dependencies and delivering a consistent product.

Software Developer at RADS Software

October 1, 2014 - April 1, 2016

Built internal, full-stack features in a Rails environment, delivering product UI, backend endpoints, and database changes. Created Python data ingestion jobs and automated cross-tool data sync to reduce manual entry by 30% for core ops workflows. Developed internal dashboards to provide a single live view for faster issue spotting and decision making; implemented data enrichment and normalization.