🎓 M.S. Student in Computer Technology, School of Computer Science, UESTC
🌍 Tencent · WeChat Group (WXG) · Algorithm Engineer
📍 Guangzhou, China
My master's research focuses on combining knowledge graphs with large language models. I currently work on large language models, AI agents, e-commerce recommendation and content understanding, aiming to turn model capabilities into business systems that are truly runnable, measurable and iterable.
- 🤖 Large Language Models: LLM applications, inference serving, inference optimization and evaluation
- 🧩 AI Agents: multi-agent systems, task orchestration, tool use and workflows
- 🎯 E-commerce Recommendation & Content Understanding: semantic understanding, multimodal content analysis and governance
- 🌟 Tencent · WeChat Group (WXG), E-commerce Product Dept. | Algorithm Engineer
Apr 2025 – Jun 2026 (Intern) · Jun 2026 – Present (Full-time)
Working on e-commerce content understanding, recommendation and risk control algorithms, as well as LLM applications. - 🚀 Chengdu Shuzhilian Technology Co., Ltd. | Algorithm Engineer Intern
Apr 2023 – Sep 2023 · Apr 2024 – Apr 2025
Worked on industrial projects covering NLP, knowledge graphs and LLM training.
- 🥈 CCKS 2024: Built a multi-hop KGQA system integrating knowledge graphs with LLM-based reasoning, winning the National Second Prize and the Technology Innovation Award, and was invited to give talks at the CCKS Conference, Huawei Beijing Research Institute and the online NLP community "Lao Liu Talks NLP".
Most of my LLM, recommendation and AI application projects — both from graduate school and at work — involve internal business, so the code cannot be made public. My GitHub mainly keeps earlier software engineering projects, algorithm competitions, tools and technical experiments.
I love sharing what I learn, and I'm always happy to connect and collaborate with like-minded people!
- Email: zliang.tensor@gmail.com
- GitHub: XYZliang
- Website: XYZliang.com
🎓 电子科技大学计算机学院 · 计算机技术专业硕士研究生
🌍 腾讯 · 微信事业部（WXG）· 算法工程师
📍 广州
研究生阶段的研究方向为知识图谱与大模型的结合；目前主要关注并实践电商场景下的 大语言模型、智能体、电商推荐与内容理解，希望将模型能力真正落到可运行、可评测、可迭代的业务系统中。
- 🤖 大语言模型：LLM 应用、推理服务、推理优化与评测
- 🧩 智能体：Multi-Agent、任务编排、工具调用与工作流
- 🎯 电商推荐与内容理解：语义理解、多模态内容分析与治理
- 🌟 腾讯 · 微信事业部（WXG）电商产品部｜算法工程师
2025.04 – 2026.06 实习 · 2026.06 – 至今 全职
从事电商内容理解、推荐、风控相关算法及大模型应用工作。 - 🚀 成都数之联科技股份有限公司｜算法工程师实习生
2023.04 – 2023.09 · 2024.04 – 2025.04
参与 NLP、知识图谱及大模型训练相关工业项目。
- 🥈 CCKS 2024：构建融合知识图谱与大模型推理的多跳 KGQA 系统，荣获全国二等奖及技术创新奖，并受邀在 CCKS 大会、华为北京研究所、老刘说 NLP 线上社区等场合进行专题分享。
研究生阶段与工作中的 LLM、推荐、AI 应用项目大多涉及内部业务，代码无法公开。当前 GitHub 主要保留早期软件工程项目、算法竞赛、工具与技术实验。
我热爱技术分享，期待与更多志同道合的朋友交流合作！
- 邮箱：zliang.tensor@gmail.com
- GitHub：XYZliang
- Website：XYZliang.com