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Anthony Chang

@anthonychang

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Senior full stack engineer leveraging LLMs to build scalable agentic systems.

United States

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What I'm looking for

I’m looking for a role where I can own meaningful features end‑to‑end, work with modern stacks (C#/.NET Core, AWS, microservices), and have a direct impact on product reliability and customer experience.

I’m a Senior Full Stack Engineer with 10+ years of experience architecting scalable backend systems and AI-driven applications. I specialize in building agentic workflows, integrating LLMs (Claude family), and designing robust APIs that bridge advanced AI capabilities with production-grade software engineering.

At Dun & Bradstreet, I architected agentic workflows with LangChain and Claude 3.5, built multi-agent systems with ReAct loops, and improved operational efficiency by 40%. I also deliver reliable RAG pipelines (Pinecone), implement safety guardrails, integrate LLM observability tools (LangSmith, Helicone), and lead migrations to microservices with CI/CD—while mentoring engineers and building React interfaces for real-time monitoring and control.

Experience

Work history, roles, and key accomplishments

Senior Full Stack Engineer

Dun & Bradstreet

Mar 2023 - Apr 2026 (3 years 1 month)

Architected and deployed agentic workflows with LangChain and Claude 3.5 to automate complex business processes, reducing manual effort by 40%. Built scalable backend services, REST APIs and webhooks, and implemented RAG pipelines with Pinecone to enhance LLM responses.

Lang Chain Claude RESTful APIs Webhooks Langsmith Redis CI CD

Full Stack Engineer

Deloitte

Jun 2019 - Feb 2023 (3 years 8 months)

Engineered backend systems with C# and .NET Core, integrating LLM-driven agents for enterprise data processing and automation. Delivered LangGraph workflows and vector search with Weaviate, and built React dashboards to visualize agent decisions and performance.

C++.NET Core LangGraph Vector Search RESTful APIs React Azure DevOps PostgreSQL CI CD

Full Stack Developer

Perficient

Jun 2016 - May 2019 (2 years 11 months)

Architected scalable Python and Node.js backend services for data enrichment and analytics platforms. Built REST and GraphQL APIs, real-time pipelines with Kafka and Redis, and improved API response times by 30% through caching and database optimization.