Xiang Yashan
Software Engineering · Big Data
Undergraduate rank: 2/59; undergraduate GPA: 4.02/5.0; English proficiency: CET-4 (556), CET-6 (451). Overall skills: During my internship at Rayneo, I designed and built an intelligent knowledge-base system fusing LLMs with Milvus, along with an Agent-based AIOps platform that delivers intelligent, closed-loop operations. At SAP, I shipped a production-grade CAP application that streamlined the data-to-print business flow and achieved a 30%+ efficiency gain. At Bosch, I designed a multimodal document intelligence-processing system and drove the platformization and unified deployment of algorithms. I have a strong command of technology stacks such as Python and PyTorch, with capabilities in Agent development, knowledge-base construction, RAG-based Q&A, and model fine-tuning, and I excel at identifying business pain points and designing AI solutions.
Skills
Experience
- Built the core of an intelligent knowledge base: designed and implemented an intelligent customer-service knowledge-base system fusing LLMs with Milvus, covering semantic search, CRUD, version management, and RAG-based Q&A, providing AI-driven knowledge retrieval and decision support for platform support and community operations.
- Built a closed-loop intelligent operations system: created an Agent-based AIOps service that automatically collects logs for Wi-Fi/Bluetooth connection anomalies and performs full-chain analysis. It generates solutions for known issues and escalates unknown ones to the technical team, achieving intelligent, traceable, closed-loop operations.
- Shipped a production-grade application: designed and implemented the development and deployment of a cloud-native CAP application on the SAP BTP platform, automating the enterprise data-transformation and printing workflow. Responsible for service-interface design and deployment monitoring, running stably in production with a 30%+ improvement in process efficiency.
- Accumulated enterprise-grade development experience: gained hands-on mastery of Node.js application and LLM integration development, delving into business processes and designing efficiency-boosting solutions leveraging AI tooling. The project spanned the complete pipeline from requirements analysis to deployment monitoring, delivering solutions for enterprise AI digital transformation.
- Designed and built multimodal document intelligence processing: for diverse document types such as recipe data and interaction reports, designed and developed an LLM-Agent-based automated processing pipeline delivering information extraction, tag generation, content summarization, and more, achieving an 80%+ recall rate.
- Drove the platformization of AI algorithms: developed the StreamPilot production solution on Langflow, designing multiple reusable processing components that enable drag-and-drop algorithm reuse across scenarios, turning technical solutions from code into configurable platform services.
Education
State Key Lab for Novel Software Technology · NJU — Terrain3DSketch
Research on accelerating 3D authoring and modeling on AR platforms. Responsible for the deep-learning generative algorithms and terrain data processing, and developed the Unity/HoloLens-based Terrain3DSketch system, which lets users sketch mid-air and automatically generates controllable, personalized terrain models.
Jiangsu Provincial Key Lab of Wireless Sensor Networks · NJUPT — RF Non-Contact Vital-Sign Monitoring
As principal investigator, completed a provincial-level Undergraduate Innovation project: an RF-based non-contact intelligent vital-sign monitoring system, which earned an Outstanding completion evaluation. My undergraduate thesis, built on this work, was named a Jiangsu Provincial Outstanding Thesis. Responsible for the deep-learning core algorithms and signal-data acquisition and processing, and built a complete non-contact heartbeat-detection system with the Streamlit visualization frontend, reaching 93.05% heart-rate computation accuracy at low latency.
Research
Awards
Awarded as team leader.
Awarded by the Far East Holding Group.
ATA AutoCAD Application (Mechanical) Intermediate certification; Jiangsu Computer Rank Exam Level-2 C Programming (Distinction); National Computer Rank Exam Level-2 C Programming certificate.