个人档案Profile
你好，我是侯旭阳Hi, I'm Hou Xuyang.
Java / AI 高级开发工程师 · 6 年经验Senior Java/AI Engineer · 6 Years of Experience
6 年 Java 后端深耕，覆盖金融支付、政务数字化、智能制造与 AI 平台；熟练运用 Spring Boot / Spring Cloud 等主流框架与 MySQL / Redis / RabbitMQ / Elasticsearch 等中间件，具备从大模型本地化部署（Ollama / vLLM） 到业务落地的全链路 AI 工程能力。 6 years of Java backend engineering across fintech payments, government digitization, smart manufacturing and AI platforms. Skilled in mainstream frameworks (Spring Boot / Spring Cloud) and middleware (MySQL / Redis / RabbitMQ / Elasticsearch), with end-to-end AI engineering capability from LLM deployment (Ollama / vLLM) to production delivery.
姓名Name
侯旭阳Hou Xuyang
职位Role
Java/AI 高级开发工程师Senior Java/AI Engineer
性别 / 年龄Gender / Age
男 · 28 岁Male · 28
工作经验Experience
6 年6 Years
教育背景Education
本科 · 电子科技大学 · 计算机科学与技术B.Sc. · UESTC · Computer Science
求职状态Status
在职 · 求职中Employed · Open to Offers
6 年6 Yrs
工作经验Experience
金融支付 → 政务数字化 → 智能制造 → AI 平台FinTech → GovTech → Manufacturing → AI
Java + Python
双语言技术栈Polyglot Stack
Spring Boot · Spring Cloud Alibaba · MyBatis-Plus / Python AI 集成与文档处理管线Spring Boot · Spring Cloud Alibaba · MyBatis-Plus / Python AI integration & document pipelines
LLM 工程化LLM Engineering
AI 落地能力AI in Production
Qwen / DeepSeek 接入 · Ollama / vLLM 部署 · Java↔Python 推理通道 · YOLOv5 视觉识别Qwen / DeepSeek integration · Ollama / vLLM deployment · Java↔Python inference · YOLOv5 vision
微服务 + 安全Services + Security
工程化能力Engineering Craft
Seata 分布式事务 · 消息削峰 · 分片上传 · 硬件加密 · 全链路审计Seata transactions · load leveling · chunked upload · hardware encryption · full audit trails
- Java / Python 双栈实战：熟练掌握 Java 与 Python 技术栈，具备 Spring Boot、Spring Cloud、RuoYiCloud 等主流框架的实战经验，覆盖微服务、异步消息队列、分片上传、分布式锁等核心技术方案。Dual-stack Java / Python: Proficient in both stacks with production experience across Spring Boot, Spring Cloud and RuoYiCloud — microservices, async messaging, chunked upload and distributed locking.
- 高并发与中间件：熟练运用 MySQL、Redis、RabbitMQ、Elasticsearch 等中间件，具备 SQL 优化、索引设计、缓存策略、消息队列削峰、分布式事务（Seata）及高并发处理能力，能够有效提升系统整体吞吐量与运行稳定性。High concurrency & middleware: Skilled with MySQL, Redis, RabbitMQ and Elasticsearch — SQL tuning, index design, caching strategies, queue-based load leveling, distributed transactions (Seata) and high-concurrency engineering that lifts throughput and stability.
- AI 工程化落地：具备 Python 与 AI 模型集成的实战经验，能够基于 Ollama（本地开发）与 vLLM（线上 GPU 推理）集成 Qwen、DeepSeek 等开源大模型，实现文本向量化与智能内容检测；掌握 YOLOv5 图像识别技术，已在工地安全行为识别、消防器材分类等场景实现模型落地。AI engineering in production: Hands-on Python + AI integration — Qwen / DeepSeek open-source LLMs served via Ollama (local dev) and vLLM (production GPU inference) for text embedding and intelligent content screening; YOLOv5 vision models deployed for construction-site safety behavior recognition and firefighting equipment classification.
- 完整项目管理：拥有完整的项目管理经验，能够主导从需求分析、技术选型、团队协作到项目交付的全过程，推动开发流程规范化与效率提升，具备政务、金融、智能制造等多领域的系统交付与持续迭代经验。End-to-end project management: Leads the whole cycle from requirements analysis and tech selection through team collaboration to delivery, standardizing development workflows — with multi-domain delivery experience across government, finance and manufacturing.
- 安全设计与合规：具备系统性安全设计与合规实施能力，熟悉从文件安全外发、敏感内容检测、硬件加密（加密狗）到多级权限控制与全链路审计追溯的安全体系构建，能够确保系统符合政务及行业安全规范与政策要求。Security & compliance by design: Builds systematic security architectures — secure outbound file transfer flows, sensitive-content screening, hardware encryption (dongles), multi-level access control and full-chain audit trails — meeting government and industry compliance requirements.
- 容器化与自动化运维：具备容器化部署与自动化运维能力，熟悉 Docker 容器化技术，结合脚本实现项目自动化部署与发布流程，保障系统高效迭代与稳定运行。Containerization & automated ops: Docker-based containerized deployment combined with scripted automation for build and release pipelines, keeping systems iterating fast and running stably.