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chi030303/README.md

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I'm an LLM & Agent Engineer on a quest to build intelligent, autonomous systems. My journey started with traditional software engineering, but I soon found my passion in the world of AI, exploring how to empower machines with reasoning and creative abilities. I thrive on bridging the gap between cutting-edge AI research and robust, scalable engineering.


My Skill Tree 🌳

AI & Machine Learning Languages Backend & Databases
PyTorch LangChain LangSmith LangGraph RAG RLHF Python Go Java C++ FastAPI PostgreSQL MongoDB Redis
Data & Streaming DevOps & Cloud-Native Frontend
Spark Kafka ES Docker K8S Jenkins Git React Streamlit

Main Quests 🛡️ (Professional Experience)

Rockflow AI Engineer Intern @ Rockflow
Sep 2024/9 - 2025/4
  • Contributed to a company-level AI Agent framework using LangChain, implementing a robust RAG system with Elasticsearch to mitigate hallucinations.
  • Developed high-performance backend services using FastAPI and utilized Kafka for real-time data streaming.
  • Participated in service operations using Docker & Kubernetes (K8S), executing CI/CD pipelines via Jenkins for automated deployment.
  • Engineered an automated QA framework using a "Judge LLM" to evaluate model responses, reducing troubleshooting time by 60%.
Zhipu AI Data Engineer Intern (Code LLM) @ Zhipu AI (智谱AI)
Mar 2024 - Jun 2024
  • Core contributor to the data-driven optimization pipeline for ChatGLM's code capabilities, focusing on the end-to-end lifecycle of high-quality training data.
  • Engineered datasets for RLHF alignment process and led a team of 5 annotators, boosting team accuracy by 12% and model adoption rate by 7%.
Part-time Research Consultant @ World Quant (世坤量化)

Side Quests & Achievements 🏆

  • 📜 Published Paper: "Network Security Threat Detection System Based on Knowledge Graph"
    • Co-authored as the second author, accepted by YAC 2025, to be published in IEEE Xplore.
    • Designed a dynamic vulnerability scoring algorithm and a RAG-based query system.
  • 🎬 Movie Recommendation System
    • Architected a full-stack recommendation system with an offline engine using Apache Spark and an online engine with Kafka & Spark Streaming.
  • 🎮 2D Platformer Game Project
    • Developed core character control scripts using C# in Unity within a 5-person team during a GameJam.

Leveling Up 🎓

M.S. in Computer Science @ City University of Hong Kong (2025-2026)
B.E. in Software Engineering @ Beijing Jiaotong University (2021-2025)


Player Stats 📊

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  1. MoviesRecommendationSystem MoviesRecommendationSystem Public

    Java 1

  2. F1yingWhite/API-Big-Work F1yingWhite/API-Big-Work Public archive

    Vue 2

  3. Intelligent-elderly-care/algorithm Intelligent-elderly-care/algorithm Public

    算法模块

    Python

  4. QigeOS QigeOS Public

    Experiments of Operating system course.

    Makefile

  5. Wechat_golang Wechat_golang Public

    利用golang编写的微信公众号后台系统

    Go

  6. moviesDataAnalysis moviesDataAnalysis Public

    对kaggle上的电影数据集进行特征分析和特征融合

    Python 1