I am Zhang Runsu（张闰苏）.
– Backend & AI Infrastructure Engineer
I focus on backend engineering and AI infrastructure, building systems around LLM integration, data flow, and execution reliability.
My work includes:
• Designing workflow execution engines (DAG-based)
• Integrating LLMs via LiteLLM (multi-provider support)
• Building traceable systems (Artifact / Audit Log)
• Developing backend services with FastAPI, PostgreSQL, and Redis
Algebraic Geometry
Integrable system
Backend Systems
AI Infrastructure
Current Adventage
Mathematical Background
Strong foundation in mathematics, with training in abstract structures and rigorous problem-solving.
Computer Science
Experience building backend systems with Python, focusing on system design, data flow, and execution logic.
Multilingual
Fluent in Chinese, English, and Japanese, able to work in multilingual technical environments.
Background & Skills
2015-2019 — Shenyang University of Chemical Technology
B.S. in Polymer Materials
2019-2022 — Southeast University
Admitted through national entrance examination (ranked 2nd) after self-study transition into mathematics.
Strong foundation in abstraction, modeling, and structured problem solving.
2024-2026 — Japan
Work and life experience, with cross-cultural communication and working-level Japanese.
Backend
• FastAPI / REST API • Async (Async / Await) + SQLAlchemy • PostgreSQL / Redis
AI & LLM
• LiteLLM (multi-provider) • LLM integration (backend systems) • Prompt / request flow understanding
Systems & Workflow
• DAG-based execution • Node-based workflow design • Modular system structure
Infrastructure
• Docker / Docker Compose • Kubernetes (basic) • MinIO (object storage)
Other
• OpenCV / YOLO / OCR
• AWS + Proxmox networkingBasic penetration tools (nmap, etc.)
• Basic penetration tools (nmap, etc.)