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Eric Huang

@erichuang

Senior full-stack engineer building scalable SaaS and AI-powered enterprise platforms.

United Kingdom
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What I'm looking for

I’m looking for a team building high-performance, production-ready AI features alongside great UX. I want to apply LLM/RAG capabilities, scalable cloud microservices, and modern web engineering to deliver customer-facing impact at enterprise scale.

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

Zendesk logoZE
Current

Senior Software Engineer

Apr 2020 - Present (6 years 3 months)

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%.

FI

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%.

Education

Degrees, certifications, and relevant coursework

Ulster University logoUU

Ulster University

Bachelor of Science, Computer Science

2009 - 2013

Earned a Bachelor of Science in Computer Science at Ulster University from 2009 to 2013.

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