Currently @ FPT Software AI Center

Nguyen
Quang Phu

Building the frontier of AI — from LLM-powered multi-agent systems and RAG architectures to enterprise-grade ML infrastructure deployed at scale on AWS and Azure.

2+ Yrs Experience
3.8 GPA / 4.0
5+ AI Projects
14+ Certifications
Associate AI Engineer Active
Company FPT Software AI Center
Expertise LLMs · RAG · Agents
Cloud AWS · Azure
Since Nov 2025
About

Who I Am

Nguyen Quang Phu
🇻🇳 Vietnamese — Native 🇬🇧 English — IELTS 6.5

I'm Nguyen Quang Phu, an AI Engineer at FPT Software AI Center with hands-on experience building and deploying AI-powered applications — specialising in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI systems.

I design end-to-end ML solutions that bridge model training, backend engineering, cloud deployment, and production support. I enjoy solving hard problems at the intersection of research and real-world enterprise impact.

Proficient in building enterprise dashboards with real-time monitoring and analytics. Experienced with scalable system architecture and production-grade pipelines on AWS Bedrock and Azure AI Services.

LLM & Agents
AWS Bedrock AgentCore, multi-agent orchestration, prompt engineering
RAG Systems
Semantic search, vector databases, document intelligence pipelines
Cloud AI
AWS Bedrock, Azure AI Services, production deployments on ECS & Lambda
ML Engineering
Model fine-tuning, hyperparameter optimisation, transformer architectures
Work History

Professional Experience

Building production AI systems at enterprise scale — from research to live deployment.

Technical Arsenal

Skills & Technologies

A full-stack AI toolkit — from model training to production deployment.

🐍Programming Languages
PythonAdvanced · 4 yr
JavaScript / TypeScriptIntermediate · 1 yr
C / C++Intermediate · 2 yr
SQLIntermediate · 2 yr
RIntermediate · 1 yr
🧠ML & Deep Learning
LLMsAdvanced · 2 yr
PyTorchIntermediate · 2 yr
TensorFlow / KerasIntermediate · 2 yr
Transformers / BERTIntermediate · 2 yr
XGBoost & Scikit-learnIntermediate · 2 yr
☁️Cloud & DevOps
AWS (Bedrock, EC2, S3, ECS, Lambda…)Intermediate · 2 yr
Azure (AI Search, OpenAI, Cosmos DB…)Intermediate · 2 yr
DockerIntermediate · 2 yr
TerraformIntermediate · 1 yr
CI / CDIntermediate · 1 yr
AI / ML Frameworks
LangChain & Agent FrameworksIntermediate · 2 yr
RAG SystemsIntermediate · 2 yr
FastAPI & PydanticIntermediate · 2 yr
StrandsIntermediate · 2 yr
Vector DBs (Qdrant)Intermediate · 2 yr
🗄️Databases
PostgreSQL / MySQLIntermediate · 2 yr
MongoDBIntermediate · 2 yr
Azure Cosmos DBIntermediate · 2 yr
RedisIntermediate · 2 yr
Qdrant (Vector DB)Intermediate · 2 yr
🛠️Dev Tools & Frontend
VS CodeAdvanced · 4 yr
Git / GitHub / GitLab / Azure DevOpsIntermediate · 2 yr
ReactJS / TypeScriptIntermediate · 2 yr
Playwright / SeleniumIntermediate · 1 yr
Streamlit / Linux / NginxIntermediate · 2 yr
Academic Background

Education

Strong theoretical foundation in AI and Computer Science from Vietnam's top engineering university.

Ho Chi Minh City University of Technology (HCMUT)
B.Sc. Computer Science — Applied Artificial Intelligence
Academic Incentive Scholarship — 2023–2024 & 2024–2025
Consolidation Prize, Bach Khoa Innovation Contest — June 2023
Ho Chi Minh City, Vietnam
3.8 / 4.0
Cumulative GPA
Le Hong Phong High School For The Gifted
Mathematics Honours Class
Elite mathematics specialisation programme
Strong foundation in analytical & quantitative reasoning
Ho Chi Minh City, Vietnam
Academic Work

Research & Projects

ML/DL projects from coursework and independent research at HCMUT.

01

Sentiment Analysis with Various Models

April 2025 · Team of 5

Implemented and compared multiple ML/DL models — Decision Trees, Naïve Bayes, SVM, XGBoost, Random Forest, MLP, and Bi-LSTM. Focused on feature transformation, high-dimensional data handling, hyperparameter tuning, and systematic model evaluation.

Python Scikit-learn Keras PyTorch Bi-LSTM
02

Fine-tuning Language Models for NLP Tasks

April 2025 · Team of 5

Fine-tuned pre-trained language models for sentiment analysis, question answering, and machine translation. Implemented and compared T5-Base, BART-Base, and Flan-T5-Small — assessed accuracy, efficiency, and resource trade-offs with full GPU acceleration.

HuggingFace T5 BART Flan-T5 PyTorch
03

Detect AI-generated Text

December 2024 · Team of 3

Evaluated SVM, Random Forest, XGBoost, Neural Networks, and Distilled BERT for AI text classification in the educational domain. Analysed model performance detecting LLM-generated essays with focus on accuracy and generalisation.

BERT SVM XGBoost Scikit-learn PyTorch
Credentials

Certifications & Training

Continuous learning across leading AI, cloud, and ML platforms.

A
Anthropic
Introduction to Subagents
April 2026
A
Anthropic
Claude 101
April 2026
G
Google
Google AI Specialization
February 2026
G
Google
Gemini Certified University Student
December 2025
G
Google
AI Fundamentals
February 2026
GC
Google Cloud
Intermediate ML: TensorFlow on Google Cloud
2025
GC
Google Cloud
Responsible AI for Developers
2025
GC
Google Cloud
Generative AI with Gemini
2025
D
DeepLearning.AI
LangChain for LLM Application Development
2025
D
DeepLearning.AI
Functions, Tools and Agents with LangChain
2025
D
DeepLearning.AI
AI Agents in LangGraph
2025
HF
Hugging Face
AI Agents Fundamentals
June 2025
DC
DataCamp
AI Engineer for Data Scientists Associate
September 2025
M
Microsoft
Office Specialist: Excel, Word & PowerPoint (2016)
2016
Get in Touch

Let's Work Together

Whether it's a new AI project, a research collaboration, or a full-time role — I'd love to connect.

📍 Ho Chi Minh City, Vietnam 🏢 FPT Software 🟢 Available now