Computer Science, Major in AI

Nguyen Quang Sang

Passionate AI/ML engineer and data scientist designing practical machine learning, computer vision, and data platforms that deliver business impact.

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About

I'm an AI/ML engineer and data scientist with a focus on transforming raw data into intelligent products. My work ranges from building real-time computer vision systems to designing end-to-end data science workflows that scale from prototype to production.

Skills

AI / Machine Learning

Supervised & unsupervised learning, regression and classification, model tuning and evaluation.

Deep Learning

Neural networks, CNNs, RNNs, transfer learning, TensorFlow, PyTorch.

Data Science

Data wrangling, exploratory data analysis, visualization with Pandas, NumPy, Matplotlib.

Computer Vision

Image classification, detection, segmentation with OpenCV, YOLO, custom pipelines.

DevOps & MLOps

CI/CD, Docker, Kubernetes, cloud (AWS/GCP/Azure), model monitoring, MLflow, Kubeflow.

Experience

  • Machine Learning Engineer – XYZ Corp (2026 – Present)
  • Data Scientist Intern – ABC Ltd (2020 – 2021)

Education

  • Bachelor in Artificial Intelligence – Computer Science, FPT University (2023 – 2027)
  • M.S. in Computer Science, Tech University (2027 – 2029)

Highlighted Projects

Recent work that blends applied machine learning with production-ready engineering.

Real-time Object Detection

Deployed YOLOv5 on edge hardware for factory-floor monitoring with streaming video. Reduced false positives by 18% through custom data augmentation and on-device calibration.

Dashboard of real-time object detection project GitHub Repo

Predictive Maintenance with IoT

Built time-series forecasting models on industrial sensor data to predict equipment failures. Integrated MQTT messaging for live alerts and a monitoring dashboard for operators.

Predictive maintenance dashboard for IoT sensors GitHub Repo

Kaggle Datasets

Selected explorations and kernels demonstrating feature engineering, modeling, and storytelling.

Titanic — Machine Learning from Disaster

Classic survival analysis with feature engineering, logistic regression, and ensemble modeling to optimize ROC-AUC.

Visualization from Titanic dataset exploration View on Kaggle

House Prices — Advanced Regression

Constructed stacking models using XGBoost and Lasso, uncovering neighborhood and quality signals that drive price predictions.

Feature importance chart for house prices dataset View on Kaggle

Research & Writing

Academic publications and long-form articles on machine learning systems.

A Lightweight Deep Learning Framework for Real-Time Defect Detection

Presented at IEEE ICMLC 2023. Introduces a compact CNN optimizing inference on constrained hardware for surface anomaly detection.

Read Publication

Predicting Stock Prices using LSTM & Attention

Blog post explaining a hybrid sequence modeling approach that applies attention to long-horizon financial data.

Read Article

Certifications

Formal credentials backing hands-on experience with deep learning and applied ML.

Deep Learning Specialization — Coursera

Comprehensive training in neural networks, sequence models, and ML strategies taught by Andrew Ng.

Verify Certificate

TensorFlow Developer Certificate

Credentialed for building, training, and deploying TensorFlow models for production pipelines.

Verify Certificate

Let's build something great

Interested in collaborations, speaking, or consulting? Reach out and I’ll respond within two business days.

AI/ML Consulting

Model design, evaluation, and deployment workflows.

Project-based
Data Science Roadmaps

Data audits, experimentation plans, and analytics dashboards.

Flexible

Email: sangquang2904@gmail.com

LinkedIn: linkedin.com/in/nguyễn-quang-sang-068784218

GitHub: github.com/NguyenQS504092s

Collaboration concept illustration