Yunnan University
Bachelor of Science in Artificial Intelligence
Studying the foundations of artificial intelligence while strengthening programming, algorithms, mathematics, software engineering, and practical project development.
Yunnan University · 云南大学
School of Software · B.Sc. Artificial Intelligence
MD MAMUNUR RASHID MAMUN
Third-Year Artificial Intelligence Student
I am an international undergraduate student at Yunnan University in Kunming, China. I enjoy turning ideas into practical software and learning how intelligent systems can solve useful, real-world problems.
My current work combines web development, machine learning foundations, mapping, data, and AI-assisted experiences. I am especially interested in agentic AI and in building systems that can reason, use tools, and help people complete meaningful tasks.
StudyB.Sc. Artificial Intelligence
Current focusAgentic AI & intelligent systems
ApproachLearn by building real projects
Education
My current academic path and technical direction.
Independent Technical Learning
Applied AI and Full-Stack Project Development
Building working products to connect classroom knowledge with modern web platforms, databases, maps, 3D interfaces, and LLM tool-calling workflows.
Selected Projects
Practical systems I have built or am actively developing.
Explore source code and future work on GitHub.
Visit GitHubSkills & Tools
Technologies I use while learning and building. This is a working toolkit—not a claim of mastery.
Python
Programming, automation, data work, and the practical foundations needed for AI experimentation.
AI Foundations
Machine learning concepts, intelligent systems, LLM-assisted experiences, and tool-calling patterns.
Web Development
React, TypeScript, Vite, and responsive interface development for practical web products.
Data & Backend
Supabase-backed applications, structured data, authentication concepts, and production workflows.
Maps & 3D
Leaflet for map-based interfaces and Three.js for interactive 3D visual experiences.
Project Workflow
GitHub, iterative prototyping, debugging, deployment, and learning through complete builds.
Research Direction
I am developing my foundation for future research in agentic AI—systems that can plan, use tools, coordinate steps, and interact with real software environments.
At this stage, my priority is disciplined learning and experimentation rather than claiming completed publications.
- LLM tool use and task-oriented agents
- Human-centered intelligent applications
- Reliable, explainable software behavior
Contact Me
I am open to thoughtful conversations about AI, student projects, research learning, and future internship opportunities.