I’m a backend software engineer with 5 years of professional experience in Python, currently pursuing a Master’s degree in Data Analytics and Artificial Intelligence at Hong Kong Baptist University.
I specialize in building scalable backend systems, crafting clean APIs (REST & GraphQL), and working with PostgreSQL, MySQL, and other relational databases.
Over the years, I’ve designed and delivered production-ready services—from permission systems and OAuth2 integrations to internal SDKs that streamline team workflows. I value clean architecture, coding standards, and enjoy mentoring junior developers.
I'm currently exploring the intersection of software engineering and machine learning.
My academic research focuses on facial expression recognition using CNNs and GAN-generated synthetic data, with hands-on experiments involving:
- StyleGAN2-ADA
- ResNet, EfficientNet
- UMAP, t-SNE
- Tracked using PyTorch Lightning and Weights & Biases (wandb)
I also build full-stack projects such as Telegram chatbots deployed using Docker and Heroku as part of my learning and teaching journey.
- Languages: Python, SQL, JavaScript
- Frameworks: FastAPI, Flask, Django, PyTorch Lightning, SQLAlchemy
- DevOps: Docker, Git, Heroku, CI/CD pipelines
- ML/AI: CNNs, GANs, Transformers, Diffusion Models, Performance Optimization
- Tools: wandb, TensorBoard, UMAP, t-SNE, PCA
- Deployment: Webhooks, Heroku, Dockerized bots, RESTful microservices
- Native Chinese speaker
- Proficient in English (IELTS 6.5 overall; Reading 7.5)
- Passionate about cross-language expression and grammar insights
I’m committed to fitness and mental clarity:
- I exercise daily, practice intermittent fasting
- Currently maintianing body fat around **17%
- Believe that physical health sharpens discipline and focus
I enjoy solving problems through systems thinking and thrive on connecting the dots between engineering, data, and real-world usability. Whether it’s debugging backend bottlenecks or optimizing training pipelines, I strive to build solutions that are both elegant and practical.
🧩 Let’s collaborate on scalable systems, AI projects, or just exchange ideas about clean architecture and machine learning workflows!