IntelligentRouteX
An intelligent routing system exploring AI-driven planning beyond shortest-path algorithms. Proposed as a scientific paper; the manuscript is not written yet.
Research · Proposed paper · AI · Routing · Optimization
NHAT MINH NGUYEN
10/01/2004
I'm a software engineer who builds from the ground up — across software, AI, systems, and product.
Unfamiliar problems are fine. I learn by building, go deep, and iterate until it's real enough to put in someone's hands.
Engineering is taking an idea out of your head and into the world.
Think it. Ship it.
Education
2022 — 2026
Bachelor of Science in Information Technology
University of Information Technology
Vietnam National University, Ho Chi Minh City
Experience
Work
Internship
Dec 2025 — Jul 2026
Worked with engineering teams to build AI-powered products, enterprise software, and prototypes for real-world business needs, from requirements and architecture to implementation.
Contributed to full-stack development, AI integration, automation, and product experimentation across recruitment, customer support, content intelligence, and internal business systems.
Toolkit
Skills
Full stack, systems, and applied AI.
FRONTEND
JavaScript
language I ship in
TypeScript
typed UI and APIs
React
component systems
Next.js
App Router, production apps
BACKEND
Node.js
APIs and services
Python
scripts, AI backends, tooling
Java
solid backend and existing systems
C++
performance-critical work
PostgreSQL
relational data
MongoDB
document data when the shape keeps moving
Redis
cache, queues, fast ephemeral state
Firebase
auth, hosting, managed app backend
Firestore
realtime NoSQL documents
INFRA
Docker
reproducible environments
Git
version control, review, history
CI / CD
build, test, ship on repeat
CLOUD
AWS
production cloud I actually ship on
S3
object storage for files and assets
R2
S3-compatible storage on Cloudflare
Workers
edge compute, close to the user
CloudFront
CDN in front of the app
IAM
who can touch what
AI
AI coding
shipping with AI in the loop
LLMs
design features around large language models
Prompting
instructions that hold up in production
RAG
retrieval over my own data
Embeddings
text into vectors you can search
Vector search
pgvector and similarity retrieval
Agents
multi-step work, tools, not one-shot prompts
Tool calling
models that hit APIs and code
Ingestion
chunk, clean, and index source data
Evals
measure quality before it ships
Guardrails
stay on-policy when the model drifts
Selected work
Projects
NavDash & NavHub
Reverse-engineered a mobile navigation system, reconstructed its protocols, and built an ESP32 dashboard that reads navigation data from an iPhone.
Research · ESP32 · Embedded · Networking · Protocols
OmniCare
An AI support agent that retrieves knowledge and takes tool actions — beyond a chatbot, toward autonomous workflows.
Internship · AI Agents · RAG · Full Stack
PairJob
An AI recruitment platform: CV parsing, job-requirement analysis, and matching beyond keyword search.
Internship · AI · NLP · Resume Parsing
Content Guide
Turns daily information and trends into content ideas, scripts, and a publishing roadmap.
Internship · AI · Content Intelligence · Full Stack
A live e-commerce site for a 3D printing shop: catalog, customer flow, and sales.
Production · Full Stack · E-commerce
InvariantX
AI engineering on reliable, efficient intelligent systems — model capabilities and the layer that makes them hold up.
Research · AI · Engineering · Systems
IOtokensaver
Lossless context optimization for AI coding agents. SACS uses semantic code graphs and AST causal slicing so the agent only gets the context it needs.
Hackathon · Agents · Context · AST · Tokens