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Hi, I'm Xindong Yang

IT Systems Engineer | Enterprise Architecture | AI/ML PoC | Event-Driven Systems | Industrial Software

I design practical enterprise systems where software, data platforms, AI, and manufacturing operations meet.

My work focuses on building scalable internal platforms, event-driven architectures, industrial integrations, and AI-assisted systems that solve real operational problems.


Focus Areas

Enterprise Architecture

System design, integration patterns, platform thinking, and practical governance for internal software delivery.

AI & Knowledge Systems

RAG, AI search, agent workflows, document intelligence, and applied AI PoCs connected to business knowledge and operations.

Event-Driven Systems

Kafka, Redpanda, messaging patterns, observability, asynchronous workflows, and decoupled service design.

Industrial Software

Traceability systems, PLC integration, manufacturing workflow automation, factory data movement, and enterprise system integration.


Featured Projects

A reference-style demo for factory workflow orchestration, scan handling, service boundaries, and event-driven manufacturing architecture.

Topics: event-driven architecture, factory workflow, microservices, observability, industrial software


An OSS Redpanda stack template with SASL authentication, Redpanda Console, Nginx Basic Auth, and bootstrap guidance for local and enterprise-style event streaming PoCs.

Topics: redpanda, kafka-compatible, event streaming, docker compose, sasl, platform engineering


A personal engineering workspace for experimenting with infrastructure, platform patterns, and reusable technical building blocks.

Topics: platform engineering, infrastructure, backend systems, engineering experiments


Engineering Philosophy

Good architecture is not the most complex diagram.

It is the smallest set of clear decisions that allows a team to move faster without creating hidden risk.

I care about systems that are:

  • understandable
  • observable
  • maintainable
  • secure enough for real enterprise use
  • useful to the people operating them

Current Direction

I am currently focused on:

  • AI-enabled enterprise applications
  • event-driven factory workflows
  • industrial traceability and integration systems
  • master data service architecture
  • Kafka / Redpanda platform patterns
  • practical AI agents for business and engineering workflows

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