Wei Pengchao

ABOUT ME

Hey! I'm Wei Pengchao. Coding is my way of exploring the world. It's not just about algorithms and data structures—it's an art of problem-solving. Learning to code has sharpened my logical thinking and enabled me to express my ideas in the tech field. I'm passionate about algorithm competitions, mathematical modeling, and constantly improving my skills in C++, Java, Python and Linux. I enjoy tackling complex problems, optimizing code, and making every line more efficient and elegant. My learning journey never stops. Every debug, every optimization is a step toward greater mastery. I believe coding is more than just a tool—it’s a force that shapes the future. Join me, and let's unlock the limitless possibilities of programming together! 🚀

"I love coding, I love challenges!"

BACKGROUND & AWARD

• QUST COMPUTER SCIENCE — 2022 - Present
• NATIONAL SCHOLARSHIP — 2024
• BANK OF QINGDAO SCHOLARSHIP — 2024
• THE 2024 ICPC ASIA HANGZHOU REGIONAL CONTEST BRONZE MEDAL — 2024
• THE 2024 ICPC ASIA SHANGHAI REGIONAL CONTEST BRONZE MEDAL — 2024
• THE 2024 NATIONAL ENGLISH COMPETITION FOR COLLEGE STUDENTS NATIONAL SECOND PRIZE — 2024

EXPERIENCE

I: Medical Q&A Chatbot Based on LangChain and Knowledge Graph (Oct 2024 – Dec 2024)

• LangChain enables LLM to answer daily questions with strong contextual understanding and generation capabilities.
• Utilizes a knowledge graph to structure medical data, providing factual support to prevent LLM "hallucinations" and ensure more reliable answers.
• Implements Retrieval-Augmented Generation (RAG) technology, combined with semantic search, allowing the model to answer questions based on real documents.
• Supports internet search, enabling the model to provide answers based on the latest information.

II: Intelligent Resume Parsing System Based on C# and WPF(Nov 2024 – Jan 2025)

• This project aims to develop an intelligent resume parsing desktop application for automated processing and analysis of job seekers' resumes.
• Processes resumes into structured formats (JSON, CSV, XML) and supports conversion between different formats.
• Extracts key information from resumes and job descriptions, calculates the cosine similarity between job requirements and resume skills, and filters suitable resumes.
• Utilizes the Word Embeddings model to compute the matching score between resumes and job descriptions, improving screening accuracy.

CONTACT

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