ERP workflows, approval flows, reporting, and multi-module business data.
Backend Engineer / Enterprise Systems
Nguyen ThiNguyet Que
Backend Software Engineer
I build backend for enterprise systems where APIs, data, permissions, and workflows need to be clear, reliable, and easy to operate.
01 / About
Backend-focused, practical, and maintainable
I work on backend systems for enterprise workflows: APIs, permissions, reporting, approval flows, and the data models behind them.
What I enjoy most is making complex operations easier to follow: clear APIs, predictable permissions, structured data, and workflows that teams can trust.
At the moment, I am growing toward enterprise backend engineering, reusable backend foundations, and practical AI-assisted automation.
Snapshot
A quick read on how I work
Validation, logging, OpenAPI, module generation, and maintainable conventions.
OCR/LLM extraction, preview, validation, fallback paths, and cost control.
02 / Experience
Selected experience
2025 - 2026
Backend Engineer
Worked on backend foundations and shared development workflows across multiple services, with a focus on API consistency, staging reliability, CI/CD support, and document-processing features using practical AI/OCR integration.
2024 - 2025
Backend-focused Full-stack Developer
Built and maintained backend workflows for ERP modules such as document management, warehouse, assets, payroll, tax, reporting, and approval processes. This work shaped how I think about data integrity and daily business operations.
2025 - Present
Graduate Student / Research Learner
Exploring ontology, RAG, knowledge modeling, and how AI systems can answer with clearer context, stronger retrieval, and more explainable structure.
03 / Projects
Focused project work
Backend Foundation
Node.js Enterprise Backend Template
A TypeScript backend starter for enterprise API projects with consistent structure, auth, validation, logging, OpenAPI, Docker, and module generation.
Enterprise System
Enterprise ERP Management System
Backend workflows for ERP modules with permissions, approval states, report queries, validation, and multi-module data handling.
AI Workflow
AI Document Processing Platform
A backend workflow for email and attachment ingestion, extraction, preview, confirmation, and persistence.
04 / Notes
Technical notes
A few things I keep learning while building backend systems in real workflows.
APIs should be predictable
Good API behavior is easy to explain, easy to test, and consistent enough that another engineer can extend it without guessing.
AI belongs inside workflows
Model calls are only one part of the system. Validation, fallback, review, logs, and cost control decide whether the feature is usable.
Documentation is operational care
Useful notes do not need to be long. They should preserve decisions, setup steps, contracts, and the sharp edges future maintainers should know.
05 / Research
Research & beyond coding
Ontology / RAG
I am exploring how knowledge modeling, retrieval, and LLMs can support answers with clearer context and more explainable structure.
Technical documentation
I treat documentation as part of operations: preserving decisions, setup, contracts, and the edges future maintainers should know.
06 / Contact
Connect
I am interested in backend engineering work around reliable APIs, enterprise workflows, and systems that stay useful in daily operations. If my direction feels relevant to your team, I would be happy to connect.