Jiaxi Shao

I’m a Master of Data Science candidate at the University of Melbourne, with a Bachelor of Software Engineering and NIIT Certified Software Engineer (DNIIT) credentials. I enjoy turning messy real-world data into structured insights that teams can act on.

In my internship as an AI Full Stack Developer Intern at Zhangshang Jindu Technology Co., Ltd., I built Python-based monitoring tools for 260+ enterprise tourism & government websites, improving operational efficiency and reporting accuracy. I also optimized JavaScript front-end experiences, supported government portal testing, and used AIGC tools to create AI-generated promotional content for tourism policy communication.

My projects reflect how I like to work end-to-end—from data engineering to usable outputs. For an Intelligent Writing IDE (NLP project), I collected and processed 1,400+ arXiv papers, built a 40,000+ expression terminology database, and developed a PyQt IDE with LaTeX generation and PDF export. For an Automotive Market Data Analysis Platform, I analyzed 10GB+ vehicle pricing data across 31 provincial capitals and delivered decision-ready dashboards using Power BI and Apache ECharts.

As a team lead on a Multimodal Data Analysis Platform, I led a workflow that processed 15,000+ images for object recognition and OCR, implemented real-time Flask + OpenCV pipelines, and integrated MySQL with coordinated frontend/backend development. I bring strong structured problem solving, technical writing, and collaboration habits—backed by awards and leadership through programming workshops and ACM-ICPC training.