Eric Huang
@erichuang
Senior full-stack engineer building scalable SaaS and AI-powered enterprise platforms.
What I'm looking for
I’m a Senior Full-Stack Engineer with 11 years of experience building scalable SaaS platforms, AI-powered applications, and cloud-native distributed systems. I focus on turning complex capabilities into production-ready features users can trust—especially at enterprise scale.
At Zendesk (Senior Software Engineer, 04/2020–Present), I built AI-powered capabilities for customer support workflows using LLM technologies. I designed and implemented semantic knowledge search with Retrieval-Augmented Generation (RAG) and vector search, and I developed backend services exposing REST and GraphQL APIs for real-time agent experiences.
I integrated AI services with PostgreSQL, MongoDB, and Redis to optimize data retrieval, caching, and asynchronous processing, reducing API response latency by over 25%. I also built customer-facing interfaces with React, Next.js, and TypeScript, and deployed cloud-native microservices on AWS using Docker, Kubernetes, and Terraform for scalable, reliable CI/CD.
Previously at Fin (Software Engineer, 10/2014–04/2020), I developed conversational AI solutions that automated customer support using natural language understanding and machine learning. I improved performance by reducing average response time by 30% through indexing, caching, and query optimization across PostgreSQL, MongoDB, Elasticsearch, and Redis, and I delivered responsive AI administration and analytics portals for operational visibility.
Experience
Work history, roles, and key accomplishments
Built AI-powered capabilities for Zendesk customer support, including LLM-based ticket summarization and reply generation. Designed RAG-based semantic knowledge search and developed scalable backend and customer-facing experiences, integrating AI services with PostgreSQL, MongoDB, and Redis to reduce API latency by over 25%.
Software Engineer
Fin
Oct 2014 - Apr 2020 (5 years 6 months)
Developed enterprise conversational AI solutions to automate customer support interactions using natural language understanding and machine learning. Built semantic retrieval and recommendation capabilities, delivered scalable backend services, and optimized databases and caching to reduce average response time by 30%.
Contributed to Microsoft Office 365 web experiences by implementing customer-facing features for enterprise collaboration and document management. Built reusable UI components with React and supported backend API development with C# and Node.js, including performance improvements to reduce application response times.
Education
Degrees, certifications, and relevant coursework
Ulster University
Bachelor of Science, Computer Science
2009 - 2013
Earned a Bachelor of Science in Computer Science at Ulster University from 2009 to 2013.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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