LING YU QIAN
RESEARCHER | DEVELOPER | INNOVATOR
Exploring complex problems through innovative research
# About Me
Ling Yu Qian is a motivated and fast-learning computer science student with a strong foundation in machine learning, data science, and software development. With hands-on experience in developing AI-powered platforms and web applications, Ling has demonstrated expertise in front-end and full-stack development, as well as a keen interest in AI model optimization and software engineering best practices.
$ cat contact_info.txt
Email: 000yuqian@gmail.com
Phone: +60-1155834038
$ cat research_interests.txt
AI Development
Keen interest in AI development, model optimization, and software engineering best practices.
$_
# Education
# Work Experience
- Developed financial web applications using Vue.js, Nuxt 3, and TypeScript.
- Collaborated cross-functionally with teams to integrate API services and enhance user experience.
- Gained industry exposure to Agile practices and version control (Git), and sharpened debugging and component design skills.
- Built an AI-powered analytics platform using React (frontend) and Django (backend) to optimize merchant performance for food delivery systems.
- Processed transactional data and extracted business KPIs using Python (Pandas, NumPy).
- Used Gemini API for prompt-based insights and automation.
- Performed NLP analysis for merchant keyword insights and applied time-series trend detection.
- Competed among 200+ teams, recognized for innovation and technical complexity.
# Projects
Full-Stack Developer – JomHack Varsity Challenge
2025
Developed a full-stack AI-driven insurance management platform using React 19 (Next.js 15, TypeScript, TailwindCSS) and Django REST API. Integrated OpenAI GPT for intelligent policy analysis and an AI-powered chat interface to handle insurance-related queries.
Outcomes:
- Achieved Second Runner-Up among competing university teams, recognized for innovation and technical implementation.
LLaMA 3.2B Instruct Fine-Tuning on AWS (Cloud LLM)
2025
Fine-tuned Meta’s LLaMA 3.2B Instruct model using LoRA optimization techniques. Utilized AWS S3 for dataset storage and AWS SageMaker for distributed model training.
CNN Architectures in Industrial Applications
2024
Developed AI modules for training CNN models from scratch using Python, NumPy, and Pytorch. Experimented with real-world industrial datasets and performed hyperparameter tuning.
UMDAC Data Science Digital Race
2024
Solved data analytics challenges covering math, stats, Python, R, SQL, data visualization, and ML modeling.
Hackquest Hackathon – Universiti Sains Malaysia
2024
1st Runner-Up. Developed full-stack AI-powered site for refugee aid using Next.js, Supabase, and Ethereum blockchain.
Skill Aggregator – Maschain DevMatch (3rd Place)
2024
Built a smart certificate management platform using blockchain and AI skill recognition algorithms.
Western Digital Hackathon
2024
1st Runner-Up. Improved firmware efficiency and integrated AI-based verification using C and blockchain.
Green Crop Management
2024
Led front-end development using Flutter and Dart to monitor agricultural health and optimize resources.
Willdo – Monash HackFest (4th Place)
2024
Designed a blockchain-based system for digital wills and inheritance using Solana.
Educhain – 24-Hour Hackathon
2024
Led a team to develop a blockchain donation tracker using Vue.js and ASP.NET for transparency and corruption prevention.
# Technical Skills
Programming Languages
Frameworks & Libraries
Machine Learning
Tools & Technologies
# Honors & Awards
# Contact Me
I'm always open to research collaborations and interesting projects. Feel free to reach out!