Yueze Han
Master of Artificial Intelligence @ Monash University (Expected 2027)
B.Eng. in Computer Science, Inner Mongolia University of Technology
Email: masonHan(at)qq(dot)com
About Me
I am currently pursuing a Master of Artificial Intelligence at Monash University, with a solid background in Computer Science and Engineering. My core focus is AI product management and FinTech innovation — I care not only about the underlying mechanics of LLMs and RAG, but about translating these technologies into reliable product experiences that solve real business problems.
I have strong hands-on engineering skills and am proficient in leveraging AI-assisted development tools to drive the full cycle from requirements analysis to MVP delivery. I am actively seeking Summer 2026 internship opportunities in AI Product Management or FinTech-related product and business roles.
News
- [April 2026] I am currently seeking Summer 2026 internship opportunities in AI Product Management, FinTech Product Development, or Software Engineering — see the opportunities section.
- [March 2026] Completed the FIT5047 course project on real-time adversarial search for multi-ghost Pac-Man: 34 wins and 1 draw across 35 test instances.
- [February 2026] Started the Master of Artificial Intelligence program at Monash University.
- [January 2026] The Shanbei Word-to-Image Assistant V1.0 received a National Software Copyright Registration (No. 2026SR0163177).
- [June 2025] Graduated with a B.Eng. in Computer Science from Inner Mongolia University of Technology. Bachelor’s thesis: LightNet-Monitor — a lightweight network-traffic monitoring platform engineered for high-concurrency packet capture and real-time anomaly alerting.
- [September 2024] Led a 4-person team to develop the AI Medical Consultation System in collaboration with Gao Hui Qiang Xue Software — integrating Baichuan LLM with a Neo4j knowledge graph, reducing API calls by ~70%.
Research Interests
- AI Product Development
AI-native product design、Product management for LLM applications、Prompt engineering and evaluation、Human-centred AI interfaces - Applied Machine Learning
Retrieval-Augmented Generation (RAG)、Knowledge-graph reasoning、Large-language-model applications、Foundation models and prompt-based systems - Intelligent Systems and Search
Adversarial search and game AI、Alpha-Beta pruning and heuristic design、Real-time decision-making under time budgets - Full-Stack Engineering
Chrome and browser-extension development、Python / Flask back-ends、Next.js / React front-ends、Network-traffic analysis and monitoring
Selected Projects
- Adversarial Search AI Agent (Pac-Man) [March 2026]
Core Algorithm Implementation — Monash FIT5047
A real-time multi-ghost adversarial Pac-Man agent operating within a 10-second time budget.
Core output: Implemented Alpha-Beta pruning with move ordering, top-2 ghost-action pruning, and BFS distance caching. Achieved 34 wins and 1 draw across 35 test instances.
Keywords: Python, Alpha-Beta Pruning, BFS, Game AI.
Report (PDF) - Shanbei Word-to-Image Assistant V1.0 · 扇贝单词图片助手 [Oct – Dec 2025]
Independent Developer
A Chrome extension designed to enhance vocabulary retention through visual association. Holds a National Software Copyright Registration (No. 2026SR0163177).
Core output: Fully developed with AI assistance. Pressing the shortcut while studying auto-detects the current word and displays 6 related images via Google Custom Search API in a floating overlay. Word-detection accuracy ≥95%, time-to-first-image <1.5 s, bundle size <50 KB.
Keywords: Chrome Extension (Manifest V3), JavaScript, API Integration.
GitHub · - LightNet-Monitor · 轻量级网络流量监测平台 [Jan – Jun 2025]
Independent Developer (Bachelor's Thesis)
Bachelor’s thesis project, including a complete six-chapter dissertation and multi-dimensional testing.
Core output: High-concurrency real-time packet capture and protocol analysis via tshark, with anomaly alerting and visual dashboards.
Keywords: Python, Flask, SQLite, tshark, Chart.js.
GitHub · - AI Medical Consultation System · AI 医疗问诊系统 [Aug – Sep 2024]
Project Lead / AI Engineer
Led a 4-person team to build a domain-specific medical Q&A system in collaboration with Gao Hui Qiang Xue Software.
Core output: Architected a hybrid retrieval pipeline integrating Baichuan LLM with a Neo4j knowledge graph (22K+ entities, 196K+ edges). Implemented intelligent routing that reduced LLM API calls by ~70% while maintaining diagnostic accuracy.
Keywords: Python, Baichuan LLM, Neo4j, RAG, Docker, Gradio.
GitHub ·
Certifications & Workshops
- National Software Copyright — Shanbei Word-to-Image Assistant V1.0, Reg. No. 2026SR0163177, January 2026.
- Product Management Series (IBM / SkillUp via Coursera): Introduction to Product Management; Foundations & Stakeholder Collaboration; Initial Product Strategy & Plan.
- Generative AI Series (IBM / Maven Analytics via Coursera): Foundation Models & Platforms; Prompt Engineering Basics; ChatGPT for Data Analytics.
Curriculum Vitae
Download PDFEducation
Master of Artificial Intelligence
Monash University
Faculty of Information Technology
Bachelor of Engineering in Computer Science
Inner Mongolia University of Technology
GPA 87.63 / 100
Work Experience
Project Trainee — Team Coordinator
Gao Hui Qiang Xue Software
- Built a domain-specific AI Medical Consultation System powered by Baichuan LLM and a Neo4j knowledge graph (22,462 entities, 196,232 edges).
- Designed hybrid retrieval (knowledge-graph + RAG) that reduced LLM API calls by ≈70%.
- Coordinated a 4-person team, managing timelines, code reviews, and documentation.
Selected Projects
AI Medical Consultation System
- Interned at Gao Hui Qiang Xue Software, contributing to a 4-person team building a domain-specific medical Q&A system.
- Architected a hybrid RAG pipeline: Baichuan LLM + Neo4j knowledge graph (22K+ entities, 196K+ edges).
- Implemented intelligent routing that reduced LLM API calls by ~70% while maintaining diagnostic accuracy.
Shanbei Word-to-Image Assistant V1.0
- Chrome extension for vocabulary learning: auto-detects the current word and shows 6 images via Google Custom Search API.
- National Software Copyright Registration No. 2026SR0163177.
- ≥95% word-detection accuracy, <1.5 s time-to-first-image, <50 KB bundle.
LightNet-Monitor (Bachelor's Thesis)
- Lightweight network-traffic monitoring platform: real-time packet capture (tshark), protocol analysis, anomaly alerting, visual dashboards, multi-user permissions.
Adversarial Search AI Agent — Pac-Man (Monash FIT5047)
- Alpha-Beta pruning with move ordering, top-2 ghost-action pruning, BFS distance caching.
- 34 wins, 1 draw across 35 test instances within a 10-second time budget.
Technical Skills
Languages: Python, JavaScript / TypeScript, Java, SQL
Frameworks & Tools: Next.js, React, Flask, Docker, Neo4j, Gradio
AI / ML: LLM fine-tuning, RAG, knowledge-graph reasoning, prompt engineering
Other: Chrome Extension (Manifest V3), tshark, Git, Linux
Certifications & Workshops
- National Software Copyright — Shanbei Word-to-Image Assistant V1.0 (No. 2026SR0163177, Jan 2026)
- IBM / SkillUp: Introduction to Product Management; Foundations & Stakeholder Collaboration; Initial Product Strategy & Plan (via Coursera)
- IBM / Maven Analytics: Foundation Models & Platforms; Prompt Engineering Basics; ChatGPT for Data Analytics (via Coursera)
Languages
Chinese (Mandarin) — Native
English — Coursework & working communication
For Prospective Employers & Collaborators
I am actively seeking Summer 2026 internship opportunities. The roles that best fit my background are:
- AI Product Management — AI-native or LLM-powered products
- Product Development in FinTech
- Software Engineering — full-stack or applied AI
If you are hiring for such a position and would like to discuss a potential fit, please get in touch. A short email with a link to the role is the fastest way to start the conversation; source code and project artefacts are available on request.
My full CV is available in the CV section above (English / Chinese).