Hi, my name is

Cai Jiechao

I build things for the world

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About Me

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me

I'm Cai Jiechao

A Computer Science Student based in Guangzhou, China

I'm passionate about creating useful, unique, and elegant products. I keep my code clean, readable, modular, and well-refactored. Currently, I am deeply focused on Agent & LLM Engineering, exploring LLM capability boundaries, and constructing RAG knowledge bases.

Moreover, I am fluent in English (passed CET4 and CET6 exams, IELTS 6.5), which enables me to effectively communicate and collaborate with programmers globally.

Education Background:
  • The University of Hong Kong (HKU)
    MSc in Computer Science (2026.9 - 2027.8 Expected) | Focus: Large Models & NLP, Multi-Agent Systems
  • BNU-HKBU UIC & University of Malaya (Exchange)
    BSc in Computer Science (2022.9 - 2026.6) | Top 15%, Second-Class Scholarship
Core Tech Stack:
  • Python, Java, TS, Kotlin
  • FastAPI, Next.js, SQLAlchemy
  • Agent, RAG, Playwright
  • Docker, Asyncio, PostgreSQL
  • Data Structures & Networking
  • Vibe-Coding, Cursor, Trae, Claude Code

Core Courses

Deep Learning & Neural Networks

Studied advanced AI techniques including Deep Learning and Neural Networks architectures, building strong foundations for LLM engineering.

Natural Language Processing

Learned text processing, language modeling, and advanced NLP techniques, essential for understanding and developing modern AI Agent systems.

Machine Learning

Mastered core ML algorithms, data preprocessing, and model evaluation metrics, applying them to solve complex predictive and classification problems.

Data Structure & Algorithm

Learned fundamental to complex data structures and algorithms, analyzing time and space complexity to write optimized, high-performance code.

Operating System

Deeply understood OS principles including process scheduling, memory management, file systems, and Linux system programming.

Data Communications & Networking

Learned the principles of data communication, OSI reference model, TCP/IP protocols, and applied theory through socket programming projects.

Latest Articles

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Latest Projects

Certificates

Jun 27, 2024 Mathematical modeling

Successful participation in 2024 MCM competition

Our topic is: An Analytical Framework for Assessing "Momentum" in Sports: Leveraging Random Forest and Fourier Transform Analysis

Aug 19, 2024 English Proficiency

IELTS Test

IELTS Overall Band Score: 6.5 (Speaking: 7.5)

Internship Experience

Xnew | AI Platform R&D Intern
2026.01 - 2026.04

Company Description: An educational content service provider that has long supplied Olympiad-level high-quality math question data to AI vendors such as Tencent, Alibaba, and Xiaohongshu.

- Full-Stack Development: Responsible for frontend and backend architecture, core feature development, and testing.
- Data Pipeline: Built data cleaning and intelligent annotation pipelines.
- LLM Integration: Integrated Large Language Models (LLMs) for evaluating math question quality (originality, difficulty, rigor, etc.).
- Gateway & Metrics: Deployed LiteLLM gateway, optimized calling performance, and implemented usage statistics with automated daily reports.

My inbox is always open. Whether you have a question or just want to say hi or want to hire me, I'll try my best to get back to you!

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