Leon Nie (Leon Nie) AI engineer, founder, and software engineering student at Tsinghua University
I study software engineering at Tsinghua University and will continue into master's study from 2026 to 2028. I co-founded Cavelight, where I lead engineering work on AI education products and enterprise AI systems.
Education
Bachelor of Software Engineering, Tsinghua University, 2022-2026, GPA 3.7/4.0.
Master's study confirmed for 2026-2028.
Recipient of the Science and Technology Innovation Excellence Scholarship.
Experience
Cavelight
Co-founder & Chief Technology Officer
Built and led an 8-member engineering team, setting up R&D processes, CI/CD, GitLab, and production infrastructure from scratch.
Architected and deployed an AI Teacher Assistant platform with a Rust/Vue stack, piloted in several schools in Beijing and deployed at Qian Xuesen Middle School.
Led delivery of enterprise AI systems including a smart risk-control project for CNOOC, covering data governance, monitoring, alerts, and workflow closure.
Designed multi-agent and RAG systems for compliance automation, policy consultation, and intelligent monitoring.
Geoming AI
AI Engineer Intern
Built a medical AI agent for pediatric consultation, assisted diagnosis, and prescription workflows.
Used LangChain, Qdrant, RAG, SGLang, and vLLM to improve retrieval quality and inference performance.
Developed benchmark tooling for evaluating AI models on pediatric medical diagnosis tasks.
Implemented a GraphRAG-based patient knowledge graph to support personalized consultation.
Alchemy Pay
AI Engineer Intern
Developed KOL CryptoPulse for crawling, analyzing, and maintaining crypto KOL tweet data.
Integrated LLMs for tweet classification, coin recognition, market sentiment analysis, and macro context retrieval.
Built CryptoCopilot, an AI-driven crypto quantitative analysis platform for Q&A, strategy backtesting, and real-time market analysis.
Implemented backend APIs and CLI tooling in Golang.
Tsinghua University IoTDB Group
Research Intern
Worked on tree-to-relational model compatibility in time-series databases.
Helped build an MCP server for LLM-IoTDB interaction with Python and Java.
Participated in designing an NLP query interface for industrial IoT data.