Education
- M.Sc. Computer Technology — Nanjing University of Posts and Telecommunications (CSC Scholarship)
- B.Sc. Computer Science — NUPT (Tech club president, competition awards)
About
I’m a Computer Science researcher and developer focusing on machine learning, deep learning, and computer vision. I build practical systems, optimize models, and ship usable software.
What I do
- ML pipelines: EDA, feature engineering, model training, evaluation
- Computer Vision: real-time detection, edge optimization
- Web apps: Node.js / Express.js / Angular
Focus
- Clean, fast, deployment-ready solutions
- Strong documentation & maintainable code
- Research-to-product mindset
Skills
Core tools I use across ML research and product development.
Programming
Machine Learning
Web Development
Projects
Smart Window System for Air Quality Control and Threat Detection based on Deep Learning
Smart window system for air quality control and threat detection using deep learning.
ACMA: An Adaptive Conditional Model Activation Framework for Efficient Real-Time Fire Detection on Edge Devices
Adaptive Conditional Model Activation (ACMA) framework for efficient real-time fire detection on edge devices.
Unsupervised Learning on MNIST Dimensionality Reduction Clustering and Analysis
Example portfolio-ready project: authentication, CRUD, dashboard UI, and API integration.
Happy Daily Mail
An AI Powered Website that allows user to send AI generated stories, layout and images to their friend's email
Comparative Study of Machine Learning Models for Human Activity Recognition
This project focuses on building and comparing several machine learning models to classify human physical activities using smartphone sensor data.
Customer Churn Prediction and Driver Analysis
This project applies supervised machine learning techniques to predict customer churn and to analyze the main factors that influence customer attrition.
Research
ACMA: Real-Time Fire Detection on Edge Devices
Efficient conditional activation approach designed for edge deployment and real-time constraints.
Smart Window System for Air Quality & Threat Detection
Combines sensing, automation, and deep learning to control airflow and detect threats.
Contact
Want to collaborate or hire me? Send a message.