01
AI / ML
Model training, evaluation, RAG pipelines, and applied deep learning.
PythonTensorFlowPyTorchScikit-learnLangChainVector DBs
Building intelligent systems and AI-powered products for real-world problems.
neural runtime
ai_pipeline.py
LLM
AI Chip
Vector DB
Code
About Me
Hello, I'm
Binh Vuong
12+
Total Projects
5+
Certificates
4
AI Domains
300+
Learning Hours
Skills
Astackshapedforintelligentproducts.
The grid groups the tools I use to move from experiments to polished software: model workflows, TypeScript interfaces, deployment basics, and communication.
02
Programming
Production-minded web apps, APIs, and TypeScript-heavy interfaces.
TypeScriptNext.jsReactNode.jsREST APIsSQL
03
Tools
Data workflows, deployment foundations, and reproducible engineering habits.
GitDockerPostgreSQLJupyterWeights & BiasesVercel
04
Soft Skills
Research discipline, product thinking, communication, and teamwork.
Problem solvingTechnical writingTeamworkPresentationLearning speed
Experience
AtimelineofAIlearning,projects,andpractice.
The focus is practical progress: coursework, research habits, personal projects, and engineering foundations that compound over time.
2026 - Present
AI Engineering Student
University / Self-directed research
Studying machine learning fundamentals, data pipelines, LLM applications, and production software patterns for intelligent systems.
PythonMLLLMResearch
2025 - 2026
Personal AI Projects
Independent builder
Built prototypes for chatbots, RAG search, computer vision classifiers, recommendation workflows, and AI-powered dashboards.
Next.jsLangChainVisionRAG
2025
Research Practice
AI reading group
Summarized papers, reproduced small experiments, and documented tradeoffs between classic ML baselines and deep learning models.
PapersEvaluationExperiment tracking
2024 - 2025
Full-stack Foundations
Coursework and freelance practice
Created responsive web apps, API integrations, and database-backed interfaces while building a stronger engineering foundation.
ReactTypeScriptNode.jsPostgreSQL
Projects
AIprojectsbuiltasproductstories.
Each project card is structured for quick scanning, but opens into a deeper case-study style modal with stack, result, and next-step context.
Blog
NotesfromlearningandbuildingwithAI.
Short, practical posts about RAG, AI agents, computer vision, MLOps, and the engineering habits behind better projects.
Contact
Let'sbuildintelligentsystemstogether.
Reach out for internships, AI research practice, collaboration, or project feedback.
Available
Open for AI projects, internships, and research practice.
Send a short brief about the idea, dataset, product direction, or opportunity. I will respond with a clear next step.
24-48h
Response
AI/ML
Focus
Collaborative
Mode
LocationHo Chi Minh City, Vietnam
AvailabilityOpen to internships, research projects, and AI product collaborations