I'm a software developer with a data science background, focused on building practical backend systems, data-processing tools, and automation workflows.
I mainly work with Python, Django, PostgreSQL, Linux deployment, and document/data automation. I enjoy turning messy business processes into structured, maintainable systems.
- Building Django + PostgreSQL internal business systems
- Designing admin workflows for business records, operational documents, and reference data
- Developing data import, validation, duplicate-checking, and document-matching workflows
- Automating Excel, Word, PDF, and batch file-processing tasks with Python
- Maintaining Linux-based deployment environments with Nginx, Gunicorn, systemd, permissions, and access control
I worked on a unified benchmark platform for Deep Active Learning research, supporting algorithm comparison across computer vision and NLP tasks.
Key areas involved:
- Deep active learning algorithm evaluation
- Cross-domain experiment design for CV and NLP datasets
- Open-set and class-imbalanced experimental settings
- Python-based experiment configuration, training, and result processing
Repository: DALBenchmark
I have worked on practical internal systems for business operations, focusing on:
- Django admin workflows
- PostgreSQL data modeling
- Multi-source data import
- Duplicate-record validation
- Document tracking and file matching
- Python automation around Excel, Word, and PDF files
- Linux server deployment and service maintenance
- Backend development
- Data engineering
- Business process automation
- Internal tools and admin systems
- Applied machine learning and data analysis
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