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lingyuqian0301/README.md

Hi there! I'm Ling Yu Qian

Data Engineering Student | AI Developer | Full-Stack Enthusiast

I am a Bachelor of Honors in Computer Science (Data Engineering) student at Universiti Teknologi Malaysia. I am a motivated and fast learner with a passion for applying classroom theory to impactful real-world projects, specifically in AI development, model optimization, and software engineering best practices.

  • ๐ŸŒ ย  My Uni based in Skudai, Johor.My hometown based in Shah Alam,Selangor
  • โœ‰๏ธ ย  Reach me at [email protected].
  • ๐Ÿง  ย  Currently focused on Machine Learning, AI Development, and Data Science.
  • ๐Ÿ† ย  Hackathon Lead: Frequently serve as project lead, managing strategy and technical delivery under pressure.

๐Ÿ’ป Technical Skills

  • Languages: Python, Java, C/C++, SQL, JavaScript, HTML/CSS, TypeScript, R, Solidity.
  • Frameworks: React, Vue.js, Node.js, Next.js, Nuxt.js, ASP.NET, Flutter, Django.
  • ML/AI Tools: TensorFlow, Scikit-Learn, Pandas, NumPy, Matplotlib, Keras.
  • Developer Tools: Git, Docker, Azure DevOps, VS Code, Google Colab.
  • Concepts: Machine Learning, CNN, Data Analysis, Blockchain, Smart Contracts, Hyperparameter Tuning.

๐Ÿš€ Featured Projects

ZooGent (Amazon Gen AI Solution)

  • Integrated AWS Bedrock to power an advanced search pipeline (Query Rewrite, Summarize, Recommend) for hyper-relevant results.
  • Built the system architecture using Vite Js (React), Node Js with AWS App Runner, and AWS Amplify.

AI-Driven Insurance Management Platform

  • Second Runner-Up at JomHack Varsity Challenge 2025.
  • Developed using React 19 (Next.js 15) and Django RESTful APIs.

LLAMA 3.2B Fine-Tuning on AWS

  • Fine-tuned Metaโ€™s model using LORA optimization techniques on AWS SageMaker.
  • Created distilled datasets with multi-step reasoning prompts using Hugging Face tools and AWS Party Rock.
  • Managed dataset storage via AWS S3 and deployment through AWS Bedrock endpoints.

Grab Merchant Analytics Platform

  • Built an AI-powered analytics platform for food delivery systems using React and Django.
  • Used Gemini API for prompt-based insights and performed time-series trend detection for merchant keywords.
  • Processed transactional data and extracted business KPIs using Pandas and NumPy.

๐Ÿ† Awards & Leadership

  • 1st Runner-Up: Western Digital Hackathon 2024 (Firmware efficiency & Blockchain).
  • 1st Runner-Up: Hackquest Hackathon USM 2024 (Refugee aid site using Next.js and Ethereum).
  • 2nd Runner-Up: Skill Aggregator - Maschain DevMatch (AI skill recognition & Blockchain).
  • 1st Runner-Up: Human Computer Interaction (HCI) Day (Refining UX and tech functionality).
  • Core Member: Google Developer Student Events (GDSE) UTM.

Connect with me

Pinned Loading

  1. farmplus farmplus Public

    Dart

  2. reinforcement_learning reinforcement_learning Public

    RL

    Jupyter Notebook

  3. transfer-learning transfer-learning Public

    Jupyter Notebook