I’m Cerlin Deng, an AI-focused full-stack software engineer with 4+ years of experience building production platforms, intelligent automation, and cloud-native systems. I’ve worked across AI agent workflows, retrieval-augmented systems, and data-driven applications, turning complex manual processes into reliable products that are ready for real users. My background spans Java Spring Boot, Python FastAPI, React/Next.js, AWS, Kubernetes, LangChain/LangGraph, and vector databases like Qdrant and Milvus. I’ve built multi-agent job application copilots, enterprise RAG systems, and analytics platforms that combine LLMs, backend services, and scalable infrastructure. What sets me apart is that I focus on more than prototypes. I build secure, observable, and maintainable systems with evaluation harnesses, tracing, CI/CD, and permission-scoped workflows so the product can perform consistently in production.

Cerlin Deng

I’m Cerlin Deng, an AI-focused full-stack software engineer with 4+ years of experience building production platforms, intelligent automation, and cloud-native systems. I’ve worked across AI agent workflows, retrieval-augmented systems, and data-driven applications, turning complex manual processes into reliable products that are ready for real users. My background spans Java Spring Boot, Python FastAPI, React/Next.js, AWS, Kubernetes, LangChain/LangGraph, and vector databases like Qdrant and Milvus. I’ve built multi-agent job application copilots, enterprise RAG systems, and analytics platforms that combine LLMs, backend services, and scalable infrastructure. What sets me apart is that I focus on more than prototypes. I build secure, observable, and maintainable systems with evaluation harnesses, tracing, CI/CD, and permission-scoped workflows so the product can perform consistently in production.

Available to hire

I’m Cerlin Deng, an AI-focused full-stack software engineer with 4+ years of experience building production platforms, intelligent automation, and cloud-native systems. I’ve worked across AI agent workflows, retrieval-augmented systems, and data-driven applications, turning complex manual processes into reliable products that are ready for real users.
My background spans Java Spring Boot, Python FastAPI, React/Next.js, AWS, Kubernetes, LangChain/LangGraph, and vector databases like Qdrant and Milvus. I’ve built multi-agent job application copilots, enterprise RAG systems, and analytics platforms that combine LLMs, backend services, and scalable infrastructure.
What sets me apart is that I focus on more than prototypes. I build secure, observable, and maintainable systems with evaluation harnesses, tracing, CI/CD, and permission-scoped workflows so the product can perform consistently in production.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Fluent
Chinese
Fluent

Work Experience

Software Engineer (Full-time)
April 1, 2022 - August 1, 2025
Engineered end-to-end ML/AI workflows, multi-agent orchestration, and retrieval systems using LangChain/LangGraph and OpenAI tool calls. Built prompt-engineering, evaluation harnesses, and SHAP explainability. Deployed containerized FastAPI and agent services on AWS EKS to support scalable AI workloads, with permission-scoped APIs and auditability. Implemented Airflow-based data ingestion, indexing 20k–30k jobs and 60k–100k embeddings in Qdrant for live search. Designed bilingual (Chinese/English) processing flows with secure, multi-tenant data handling, prompt-injection detection, and schema-constrained validation. Established CI/CD with GitHub Actions, Docker, and Kubernetes, and integrated monitoring for reliable releases. Developed end-to-end RAG pipelines with LangIndex for multi-format document ingestion (HTML/PDF/XLS) and automated extraction and summarization.

Education

Master of Business Information Systems at Monash University
January 1, 2018 - January 1, 2020
Double Bachelor in Agriculture & Finance at Shandong University
January 1, 2014 - January 1, 2018

Qualifications

Add your qualifications or awards here.

Industry Experience

Computers & Electronics, Software & Internet, Media & Entertainment, Education, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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