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JerroldHann/README.md

Hi, I'm Yijun Han

MSc in Information Technology at The Hong Kong Polytechnic University. I work on practical AI systems across computer vision, retrieval-augmented generation (RAG), multimodal interaction, financial technology, and full-stack AI product development.

About Me

  • Research-oriented developer with experience in turning AI ideas into deployable systems
  • Interested in multimodal AI, intelligent retrieval, explainable decision support, and real-world AI applications
  • Comfortable across the full pipeline: data processing, model training, back-end logic, front-end delivery, and cloud deployment

Related Projects

LegiCheck — Legal RAG System for SME Compliance Review

Built a legal QA backend for Hong Kong regulations and contract review using structured chunking, embedding-based retrieval, reranking, and evidence-grounded generation.

Intelligent Trading Risk Control System

Developed an end-to-end risk analysis workflow on the IEEE-CIS fraud dataset, covering feature engineering, model comparison, front-end interpretation, and AI-assisted decision support.

GNN-Based Fraud Detection SaaS Platform

Built transaction relationship graphs and trained an EdgeSAGE-based model for linked-account and group fraud detection, with integrated risk scoring and visualization.

Multimodal Interactive Vision Assistant

Developed a real-time system that combines speech input, OCR, object understanding, color analysis, scene captioning, LLM reasoning, and speech output.

MDEQ-Based Remote Sensing Segmentation

Implemented an implicit-depth segmentation model for remote sensing imagery with multi-scale fusion and fixed-point iteration.

Vision and Robotic Control System for Tennis Ball Retrieval

Built an end-to-end robotic pipeline combining perception, decision-making, sensor fusion, path following, and robotic execution.

Tech Stack

Languages: Python, Java, C++
Web & Deployment: Next.js, React, TypeScript, Tailwind CSS, Supabase, PostgreSQL, Vercel, GitHub
AI & ML: PyTorch, NumPy, RAG, graph neural networks, multimodal pipelines, feature engineering
Vision & Robotics: OCR, image enhancement, open-vocabulary detection, ROS, Webots, Arduino, STM32, PID control

Current Interests

  • Multimodal document intelligence
  • RAG system design and optimization
  • Explainable AI for legal and financial scenarios
  • Vision-language systems and real-time interaction
  • Full-stack deployment of AI products

Contact

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