FlashFlow
Full-stack vocabulary app (Flutter, PostgreSQL, Docker, Nginx) — personalized decks, Excel-to-quiz parsing, QR sharing, FCM push, and AdMob. Built for domain-specific learning at scale.
Flutter PostgreSQL Docker Nginx FCM AdMob
Open to Fullstack · Backend · Mobile · Applied AI
Nguyen Huu Tai
Fullstack Developer | Applied AI
6+ years building Flutter apps and NestJS/Node.js backends across smart home, renewable energy, and retail — now focused on Applied AI and image processing. Sharing knowledge on Học AI Cùng Tài!
District 9, Ho Chi Minh City, Vietnam
YouTube Channel
About
Fullstack foundation, Applied AI direction
Building reliable products today while deepening expertise in machine learning and computer vision.
With over six years of experience engineering cross-platform applications (Flutter) and scalable backends (Express/NestJS), I have built robust solutions across smart home, renewable energy, and retail industries.
I am transitioning toward Applied AI — deepening expertise in machine learning and computer science, with an active focus on image processing and efficient neural architectures.
I seek roles where I can leverage a solid full-stack foundation to build, deploy, and scale high-impact, intelligent systems — from Docker/Nginx production setups to on-device TFLite and educational content on YouTube.
Experience
Professional journey
- Current
NestJS Backend Developer
Viet Nam Golden Lotus MTV Co., Ltd
- E-commerce platform (NestJS, PostgreSQL): jewelry catalogs, inventory synchronization, and transaction workflows
- Dynamic pricing engine: automated real-time gold and jewelry valuation from market rates and processing costs
- Sample asset management: track high-value sales samples, automate checkouts, and internal accountability
-
Node.js Backend Developer
CITIGYM Development and Investment Services JSC
- SaleFast operations platform: REST APIs for sales workflows — meal bookings, check-ins, and restaurant management
- System architecture with MongoDB and Redis for gym and membership data
- Full server deployment and configuration on Linux (PM2, Nginx)
-
Flutter Developer
Bach Khoa Investment & Development of Solar Energy Corporation
- SSOC Cloud — energy monitoring and MS Service — maintenance task management (Flutter)
- End-to-end mobile release lifecycle to Google Play Store and Apple App Store
-
Flutter Developer
Dien Quang Joint Stock Company
- Dien Quang Smart — smart home app with ZigBee SDK for TV Box communication
- Integrated diverse IoT devices; optimized application performance and UI/UX
-
Tester
TMA Solutions
- Wrote Python test cases for SPI, I2C, and GPIO standards
Projects
Published apps & selected work
Production apps on stores, AI demos, and open learning content.
MeatScan 2025
Offline edge-AI meat freshness detector (Flutter + TFLite). Managed the full pipeline: data collection, model training, and on-device deployment for pork, beef, and fish.
Flutter TFLite Edge AI Computer Vision
ML Course — Machine Learning Cơ Bản
YouTube series from zero to Linear Regression, Logistic Regression, Softmax, Neural Networks, Keras, and MNIST — in Vietnamese.
Education Scikit-learn Keras YouTube
Image Similarity Search
DINOv2 embeddings + FAISS vector search with FastAPI backend and Flutter Web UI. Dockerized deployment.
DINOv2 FAISS FastAPI Flutter Web Docker
Internal Task & Inventory App
Flutter mobile client with Node.js backend for shift tracking, image check-in, and admin reporting dashboards.
Flutter Node.js MongoDB REST API
OAuth2 Authorization Server
Node.js authorization server with oauth2-server: session management, authorize/token/login flows for third-party apps.
Node.js OAuth2 Sessions Security
YouTube
Machine Learning Cơ Bản
Free Vietnamese course from zero to Neural Networks — 25 lessons across 6 chapters.
Ch.0
Chương 0: Machine Learning là gì? – Lộ trình học từ con số 0!
Chương 0: Machine Learning là gì?
IntroductionRoadmap
Watch on YouTubeCh.1
Chương 1.1: Phân biệt Supervised Learning với Unsupervised Learning
Chương 1: Supervised vs Unsupervised, ML Pipeline, Code Pipeline
SupervisedPipelineColab
Watch on YouTubeCh.1
Chương 1.2: Pipeline cơ bản trong một bài toán Machine Learning
Chương 1: Supervised vs Unsupervised, ML Pipeline, Code Pipeline
SupervisedPipelineColab
Watch on YouTubeCh.1
Chương 1.3 (Code): Code Pipeline Machine Learning Cơ Bản + Chạy trên Google Colab & VS Code
Chương 1: Supervised vs Unsupervised, ML Pipeline, Code Pipeline
SupervisedPipelineColabCode
Watch on YouTubeCh.2
Chương 2.1: Hồi quy tuyến tính - Linear Regression
Chương 2: Linear Regression, MSE, Gradient Descent, Polynomial, Ridge/Lasso
Linear RegressionMSEGradient DescentRegularization
Watch on YouTubeCh.2
Chương 2.2 (Optional): Ôn lại Đại Số Tuyến Tính Cơ Bản | Ma Trận & Vector
Chương 2: Linear Regression, MSE, Gradient Descent, Polynomial, Ridge/Lasso
Linear RegressionMSEGradient DescentRegularization
Watch on YouTubeCh.2
Chương 2.3 (Code): Numpy với Ma Trận & Vector
Chương 2: Linear Regression, MSE, Gradient Descent, Polynomial, Ridge/Lasso
Linear RegressionMSEGradient DescentRegularization
Watch on YouTubeCh.2
Chương 2.4: Mean Squared Error (MSE) – Hàm Loss phổ biến trong Hồi quy tuyến tính
Chương 2: Linear Regression, MSE, Gradient Descent, Polynomial, Ridge/Lasso
Linear RegressionMSEGradient DescentRegularization
Watch on YouTubeCh.2
Chương 2.5 (Optional): Ôn Tập Hàm Số, Đạo Hàm & Gradient
Chương 2: Linear Regression, MSE, Gradient Descent, Polynomial, Ridge/Lasso
Linear RegressionMSEGradient DescentRegularization
Watch on YouTubeCh.2
Chương 2.6.1: Giới thiệu Thuật Toán Gradient Descent – Tối ưu hóa mô hình
Chương 2: Linear Regression, MSE, Gradient Descent, Polynomial, Ridge/Lasso
Linear RegressionMSEGradient DescentRegularization
Watch on YouTubeCh.2
Chương 2.6.2 (Code): Cài đặt Gradient Descent & Momentum
Chương 2: Linear Regression, MSE, Gradient Descent, Polynomial, Ridge/Lasso
Linear RegressionMSEGradient DescentRegularization
Watch on YouTubeCh.2
Chương 2.6.3 (Code): Cài đặt thuật toán Gradient Descent cho Linear Regression
Chương 2: Linear Regression, MSE, Gradient Descent, Polynomial, Ridge/Lasso
Linear RegressionMSEGradient DescentRegularization
Watch on YouTubeCh.2
Chương 2.6.4 (Code): Cài đặt Gradient Descent sử dụng vector hóa (ma trận hóa)
Chương 2: Linear Regression, MSE, Gradient Descent, Polynomial, Ridge/Lasso
Linear RegressionMSEGradient DescentRegularization
Watch on YouTubeCh.2
Chương 2.7 (Code): Hồi quy đa thức (Polynomial Regression) và cách cài đặt
Chương 2: Linear Regression, MSE, Gradient Descent, Polynomial, Ridge/Lasso
Linear RegressionMSEGradient DescentRegularization
Watch on YouTubeCh.2
Chương 2.8 (Code): Giải pháp Closed-Form
Chương 2: Linear Regression, MSE, Gradient Descent, Polynomial, Ridge/Lasso
Linear RegressionMSEGradient DescentRegularization
Watch on YouTubeCh.2
Chương 2.9 (Demo): Underfitting và Overfitting
Chương 2: Linear Regression, MSE, Gradient Descent, Polynomial, Ridge/Lasso
Linear RegressionMSEGradient DescentRegularization
Watch on YouTubeCh.2
Chương 2.10 (Code): Linear Regression, Ridge và Lasso trong thư viện Scikit-learn
Chương 2: Linear Regression, MSE, Gradient Descent, Polynomial, Ridge/Lasso
Linear RegressionMSEGradient DescentRegularization
Watch on YouTubeCh.3
Chương 3.1: Logistic Regression – Hồi quy Logistic
Chương 3: Logistic Regression
ClassificationLogistic
Watch on YouTubeCh.3
Chương 3.2 (Code): Cài đặt Logistic Regression với Gradient Descent & scikit-learn
Chương 3: Logistic Regression
ClassificationLogisticCodeGradient Descent
Watch on YouTubeCh.4
Chương 4.1: Mô hình Softmax Regression
Chương 4: Softmax Regression
Multi-classSoftmax
Watch on YouTubeCh.4
Chương 4.2 (Code): Cài Đặt Mô Hình Softmax Regression
Chương 4: Softmax Regression
Multi-classSoftmaxCode
Watch on YouTubeCh.5
Chương 5.1: Neural Network – Mạng Nơ-ron Cơ Bản
Chương 5: Neural Network, Keras MNIST, Roadmap
Neural NetworkKerasMNISTRoadmap
Watch on YouTubeCh.5
Chương 5.2 (Code) : Cài đặt Neural Network với Keras và MNIST
Chương 5: Neural Network, Keras MNIST, Roadmap
Neural NetworkKerasMNISTRoadmap
Watch on YouTubeCh.5
Chương 5.3: Tổng kết chương 1–5 & Gợi ý lộ trình học tiếp (Roadmap)
Chương 5: Neural Network, Keras MNIST, Roadmap
Neural NetworkKerasMNISTRoadmap
Watch on YouTubeSkills
Technical stack
Machine Learning & AI 1 year
Backend Development 2 years
Mobile Development 3 years
Machine Learning & AI
- PyTorch
- TensorFlow
- CNN
- Image Classification
- Image Retrieval
- Scikit-learn
- Decision Trees
- SVM
- XGBoost
- Pandas
- NumPy
- Matplotlib
- Seaborn
Backend Development
- Node.js
- NestJS
- REST API
- WebSocket
- JWT
- OAuth2
- RabbitMQ
- Kafka
- Winston
- Morgan
Databases & DevOps
- MongoDB
- MySQL
- PostgreSQL
- Redis
- Sequelize
- Mongoose
- Docker
- Linux
- PM2
- Nginx
Mobile Development
- Flutter
- Dart
- BLoC
- Riverpod
- Provider
- SQLite
- Hive
- ObjectBox
- Firebase
- Sentry
Education
Academic background
-
Industrial Electronics
HCMC University of Technology and Education
Certificates
Coursera specializations
-
Deep Learning
Coursera · March 4, 2025
View on Coursera ↗ -
Machine Learning
Coursera · February 7, 2025
View on Coursera ↗
Research interests
Exploring efficient & brain-inspired AI
Topics I study beyond day-to-day product work — aligned with my Applied AI learning path.
Spiking Neural Networks
Exploring event-driven, energy-efficient neural models inspired by biological spiking dynamics for future edge AI systems.
Continual Learning
Studying how models acquire new tasks over time without erasing prior knowledge — critical for real-world deployment.
Catastrophic Forgetting
Investigating why neural networks abruptly lose performance on old tasks when trained on new data, and mitigation strategies.
Sleep Replay & Biologically Inspired Learning
Reading on memory consolidation, replay mechanisms, and neuroscience-inspired training loops for more robust learning.
Contact
Let's build something meaningful
Reach out for fullstack, backend, mobile, AI applications, or ML education collaboration.
- nhtai7071@gmail.com
- Phone
- 0522965157
- Location
- District 9, Ho Chi Minh City, Vietnam
- Website
- nhtai.168tech.vn