Backend Developer Open to work

Backend systems that hold up in production, not just in demos.

Around 3 years building private business systems with Python, Django, FastAPI, REST APIs, Firestore and MongoDB, including real VPS deployment and production support.

Core strengths

The backend work I have shipped in production, and the wider toolkit I build with.

Backend and REST API delivery

Python, Django and FastAPI across real services, from request handling to data layer.

Business workflow systems

Private, internal operations platforms with real users and multiple modules.

NoSQL data modeling

Firestore and MongoDB structures shaped around real access patterns, not generic schemas.

VPS deployment and support

Linux, nginx, SSL/certbot and production troubleshooting for live systems.

Also working with

  • SQL and PostgreSQL
  • Backend automated testing
  • CI/CD pipelines

Selected backend work

Professional projects from private business systems. Source code, client data and internal details are not public.

Private business system

Construction Estimation System

A web system for construction cost estimation, split into its own domain but linked to the wider business management ecosystem.

Role
Backend developer
Scope
Backend and database logic for estimation data with many dependent values and recalculation paths, exposed through Django APIs.
PythonDjangoFirestore
Private company project

Work Management Platform v3

A new version of the work management system, rebuilding existing functionality on a FastAPI and MongoDB stack.

Role
Backend contributor
Scope
Rebuilt features with FastAPI, MongoDB and Vue.js. Reviewed logic, integrated changes and tested manually before delivery.
FastAPIMongoDBVue.js
Private business system

Operations CMS for Bottled Water Distribution

An operations CMS for a bottled water distribution business, focused on inventory, product and shipper management.

Role
Backend developer
Scope
Analyzed operational needs, designed a MongoDB data model for inventory, products and shippers, and built FastAPI backend services.
FastAPIMongoDB

Featured case study

Firestore dashboard optimization on the Enterprise Work Management & Operations System.

Context
A private business operations system with multiple workflow modules and real operational users. The main dashboard aggregated data spread across those modules.
Problem
Dashboard load was slow because data was read across several workflow and module access patterns, so the initial view took roughly 8-10 seconds to render.
Role
Backend owner for the data design, API integration and dashboard query optimization on this surface.
Approach
Reworked the read access pattern, improved Firestore query and index usage, and used aggregation where it fit the dashboard read model instead of querying raw collections on every load.
Result
Roughly 8-10s to around 1s in a development environment. Measured in development, not published as an audited production SLA.
Trade-off
Firestore rewards query-first data design. Some duplication and aggregation is acceptable when it buys a large, predictable read improvement on a hot surface.

Technical stack

Grouped by role.

Backend

PythonDjangoFastAPIREST APIAuthValidationPaginationFile uploadLogging

Database

FirestoreFirebaseMongoDBNoSQL modelingSQL / PostgreSQL

Deployment

VPSLinuxnginxSSL / certbotDockerGitHub Actions

Workflow

GitManual testingTask breakdownIntegration review

Experience

2023.07 - 2026

Backend Developer

GKSoftware

Backend and API development, data design, private business systems, VPS deployment and production support.

2022 - 2023

Android Developer Intern

Evotek

Kotlin, REST API, Firebase and Room. Client-side background that helps when designing and integrating backend APIs.

Open to backend roles

Python backend, remote Vietnam or Hanoi. Happy to walk through any of the systems above in detail.

GitHub available on request.