Nguyễn Lý Minh Mẫn
I design backend-first platforms, microservices, cloud systems, and AI-powered products with a strong focus on reliability, clean architecture, and production-ready engineering.
Runtime Profile
01const engineer = 'Nguyen Ly Minh Man';
02build({ backend: 'scalable', cloud: 'aws' });
03ship('microservices', 'ai-systems', 'fintech');
API Gateway
99.9%
Event Bus
24ms
AI Agent
online
Delivery Pipeline
passingAbout / Profile
Senior Full Stack Software Engineer with 7+ years of experience building scalable financial systems, CMS platforms, and microservice-based applications. Strong expertise in Java (Spring Boot) and Node.js (NestJS), with frontend proficiency in React, Next.js, and Vue.js.
Currently exploring AI-driven systems using Large Language Models and Model Context Protocol (MCP), with a focus on building intelligent backend architectures that bridge traditional systems with modern AI capabilities.
7+
Years Experience
4
Core Domains
AI
Current Focus
Focus Areas
01. Backend-first mindset
Design APIs, services, and data flows with stability, observability, and long-term maintainability in mind.
02. Product-aware delivery
Balance engineering quality with real business workflows across finance, CMS, and platform systems.
03. AI-native exploration
Experimenting with LLM, MCP, and agent-style backend architecture to connect traditional systems with AI capabilities.
Tech Stack / Toolkit
Core
Product UI
System Design
Data Layer
Delivery
Projects / Case Studies
A mix of financial platforms, microservices, CMS systems, and AI-adjacent products focused on stability, delivery, and clean architecture.
FinTech Core
Secure backend APIs for financial transactions with banking API integrations, stability & performance improvements.
Key Contributions
Microservices
Microservices architecture with ActiveMQ integration. Full-stack feature delivery for credit card eligibility workflows.
Key Contributions
Team Lead
Led a team of 4 engineers designing core backend services and migrating legacy software to a modern web platform.
Key Contributions
AI / CMS
Content management system for a Vietnamese voice assistant. Built both backend and frontend with containerized deployment.
Key Contributions
Technical ownership, engineering quality, and team collaboration across real product delivery.
leadership.mode
Build / Review / Ship
team.enablement
Led a team of 4 engineers, aligning technical direction with sprint delivery.
quality.gate
Protected maintainability through review habits, clean boundaries, and practical feedback.
architecture
Designed scalable microservice architectures for financial and workflow-heavy platforms.
runtime.health
Improved stability, latency, and reliability across critical backend services.
delivery
Worked with product owners, QA, DevOps, and stakeholders to keep delivery moving.
collaboration
Bridged backend, frontend, DevOps, and QA to reduce handoff friction.
Engineering
Clean, scalable implementation
People
Mentoring and alignment
Delivery
Reliable execution rhythm
Bridging traditional backend engineering with modern AI capabilities to build intelligent, practical, and production-ready systems.
conversation.layer
Designing conversational AI flows for recruiter-facing, enterprise, and internal productivity use cases.
tool.context
Using tool-based context to let AI agents interact with backend data in a controlled and explainable way.
dev.acceleration
Applying AI for debugging, refactoring, test exploration, documentation, and faster engineering workflows.
backend.ai
Blending classic backend design with AI capabilities for smarter automation and data processing.
Agent UX
human-friendly answers
Context routing
right data, right time
Guardrails
controlled AI behavior
Side projects where backend architecture, AI tooling, realtime UX, and production deployment meet.
Recruiter-facing AI assistant for my live portfolio.
A smart, interactive chatbot integrated into my Live Portfolio Website, designed to help HR and recruiters explore candidate information, professional experience, technical skills, and project highlights in real time.
01
Live AI product
MCP
Tool-based context
SSE
Streaming response
Built NestJS services with PostgreSQL persistence for session state, message history, and recruiter conversations.
Exposed CV details and project data to the LLM through Model Context Protocol tools with controlled context access.
Designed a responsive Next.js chat UI with smooth real-time streaming responses and a lightweight interaction flow.
Optimized prompts, boundaries, and context retrieval so the assistant answers professionally without hallucinating.
Open to senior engineering roles, backend architecture, AI-enabled product work, and technical collaboration.
availability.status
$ who_to_contact
Nguyễn Lý Minh Mẫn — Senior Full Stack Engineer
$ interests
Backend systems • Microservices • AI products • Cloud deployment
timezone.gmt+7
Location
Ho Chi Minh City, Vietnam