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I'm ZhouSha (Joey), an AI engineer focused on building LLM agents and RAG apps with a strong background in ML, computer vision, and full-stack development. I enjoy turning complex problems into scalable AI-powered solutions using Python, FastAPI, TypeScript, React, and cloud technologies. I've shipped real-world AI systems in Agile environments, designed end-to-end pipelines with MLOps/LLMOps, deployed containerized apps on cloud platforms, and built front-end interfaces that enhance user experience. I'm passionate about learning, collaboration, and delivering production-ready AI software.…I'm ZhouSha (Joey), an AI engineer focused on building LLM agents and RAG apps with a strong background in ML, computer vision, and full-stack development. I enjoy turning complex problems into scalable AI-powered solutions using Python, FastAPI, TypeScript, React, and cloud technologies. I've shipped real-world AI systems in Agile environments, designed end-to-end pipelines with MLOps/LLMOps, deployed containerized apps on cloud platforms, and built front-end interfaces that enhance user experience. I'm passionate about learning, collaboration, and delivering production-ready AI software.

ZhouSha (Joey)

AI Engineer, Web Developer, Full Stack Developer, +2

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I'm ZhouSha (Joey), an AI engineer focused on building LLM agents and RAG apps with a strong background in ML, computer vision, and full-stack development. I enjoy turning complex problems into scalable AI-powered solutions using Python, FastAPI, TypeScript, React, and cloud technologies. I've shipped real-world AI systems in Agile environments, designed end-to-end pipelines with MLOps/LLMOps, deployed containerized apps on cloud platforms, and built front-end interfaces that enhance user experience. I'm passionate about learning, collaboration, and delivering production-ready AI software.…I'm ZhouSha (Joey), an AI engineer focused on building LLM agents and RAG apps with a strong background in ML, computer vision, and full-stack development. I enjoy turning complex problems into scalable AI-powered solutions using Python, FastAPI, TypeScript, React, and cloud technologies. I've shipped real-world AI systems in Agile environments, designed end-to-end pipelines with MLOps/LLMOps, deployed containerized apps on cloud platforms, and built front-end interfaces that enhance user experience. I'm passionate about learning, collaboration, and delivering production-ready AI software.

Available to hire

I’m ZhouSha (Joey), an AI engineer focused on building LLM agents and RAG apps with a strong background in ML, computer vision, and full-stack development. I enjoy turning complex problems into scalable AI-powered solutions using Python, FastAPI, TypeScript, React, and cloud technologies.

I’ve shipped real-world AI systems in Agile environments, designed end-to-end pipelines with MLOps/LLMOps, deployed containerized apps on cloud platforms, and built front-end interfaces that enhance user experience. I’m passionate about learning, collaboration, and delivering production-ready AI software.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Container Dispatch LLM Agent at BSB Transport Australia Pty Ltd

January 1, 2025 - Present

Designed and implemented an agentic AI workflow with multi-step orchestration to automate container tracking with LLM-based workflows, exposed via RESTful APIs and deployed on Render. Implemented vector-based retrieval systems and relational databases (MySQL, Redis) to support scalable AI applications. Applied MLOps and LLMOps practices, including experiment tracking (MLflow), model versioning, containerized deployment, telemetry readiness, and safe production deployment. Implemented RESTful APIs using Python FastAPI, optimized API performance for better user experience. Built an automated CI/CD pipeline, auto-deployed a web app with Docker on the Render platform. Implemented auto analysis feature using Python and LLM prompts.

Real-Time Object Detection & Threat Classification System at Open Source Project

January 1, 2024 - Present

Implemented auto detection pipelining using Python, YOLOv5, SAM and CLIP. Optimised pipeline configurations and scripts to enhance accuracy of normal / nothing / threat detection. Developed real-time APIs via Python FastAPI and WebRTC streaming, provided automation and manual operation interfaces.

Spring Boot Order Management System at Open Source Project

January 1, 2025 - Present

Designed and implemented a backend order management system using Spring Boot, supporting secure order creation, persistence, and transactional processing. Implemented back-end RESTful APIs using Java and Spring Boot, automated order process. Optimized API performance by improving SQL and integrating MyBatis. Built a user management system using JWT authentication. Implemented CI/CD using GitHub Actions for auto deployment with Docker.

Personal Portfolio Website at Open Source Project

January 1, 2025 - Present

Built single page web app using JavaScript, React, Vite and TailwindCSS. Created scripts auto-deployed web app on Vercel. Integrated UI with GitHub APIs, enhanced user experience.