Computer Engineering

Engineering the infrastructure behind intelligent computing.

Focused on distributed systems, ML-driven optimization, infrastructure engineering, and performance analysis for large-scale computing environments.

Featured Works

Designing intelligent computing systems that combine scalable infrastructure, data-driven analysis, and performance optimization.

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Star Project Distributed Systems

CloudMesh-Distributed Backend Infrastructure Platform

Building a distributed backend system using Go, AWS, Docker, and Redis to explore asynchronous processing, load balancing, failure recovery, and performance behavior under production-style cloud workloads.

Go AWS Docker Redis Load Balancing

Technical Deep Dive open_in_new

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API Nodes

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HARDEN

Developed a hardware-assisted intrusion detection platform for IoT systems using Python, machine learning, and ARM64 Raspberry Pi infrastructure.

Python GitHub Repo arrow_outward

An Engineering Approach to Systems

"I believe effective computing systems are built through understanding how complex software, data, and infrastructure interact under real-world conditions."

My work combines systems engineering, software development, and data-driven analysis to build scalable and reliable computing environments. From backend architectures to intelligent system optimization, I prioritize clarity, performance, and practical engineering impact.

Python C++ Linux Raspberry Pi Machine Learning IoT Systems AWS PostgreSQL Docker

Let's connect!

Open to engineering internships, research collaborations, and technical discussions.

mail yuexin.z.jobs@gmail.com