One-on-one research advising (advisor: Yang Yangrui). Transitioned from engineering to academic research: literature search & close reading on RAG, knowledge graphs and retrieval reranking; independently completed a full empirical study (topic → design → analysis → writing). Studied the SciToolAgent paper (Nature Computational Science) and presented it to the group.
AI undergrad @ NCWU · open to research & collaboration
Hi, I'm Raelon Veritas Lee
AI Undergrad — Retrieval / RAG · Machine Learning · Applied Research
I turn research into systems that ship — from a filed patent on intelligent bid-document analysis to empirical retrieval studies and deep-learning signal separation. Scroll for patents, papers and projects.
~/portfolio.json
- projects
- 11
- patents
- 01
- papers
- 1+
- stack
- Python · PyTorch · RAG
- location
- China
- status
- open to work
01 selected work
Projects
- context-retrieval★ Featured
Contextual Retrieval: Empirical Study
Reproduced Anthropic's Contextual Retrieval, then ran systematic comparisons across domains — finding a 'double-edged sword' effect and the limits of knowledge graphs.
- Python
- RAG
- Contextual Embeddings
- BM25
- Knowledge Graph
3 phases · 6 controlled experiments · reproducible
- gcms-separation★ Featured
GC-MS Signal Deconvolution & Identification Engine
End-to-end deep learning for GC-MS: identify components of essential-oil mixtures and predict blend ratios directly from 1D chromatographic signals.
- Python
- Deep Learning
- PyTorch
- GC-MS
- Synthetic Data
74,820 synthetic samples · 87 monomers · enterprise collaboration
- bid-analysis★ Featured
Intelligent Bid-Document Analysis System
University–enterprise project: intelligent parsing and fast screening of bidding documents. Core developer through requirements, architecture and iteration — results filed as an invention patent (published).
- Python
- LLM
- RAG
- FastAPI
Invention patent published · enterprise software engineering
🔒 Private · demo on request Details →
02 patents & papers
Research
- paperPaper In preparation
An Empirical Study of Contextual Retrieval Across Domains
Systematic comparison of Contextual Retrieval and knowledge-graph approaches across structured and government-document datasets; first-author empirical paper.
empirical study · reproducible code
- patentPatent Published (under examination)
Intelligent Bid-Document Analysis Method and System
Invention patent from the university–enterprise bid-analysis project — core method for parsing and screening bidding documents.
发明专利 · 已公布
03 timeline
Experience
- Sep2025 - NowResearch Training · Advisor's Group (NCWU)Undergraduate Researcher — Retrieval / RAG
- Mar2025 - Mar2026University–Enterprise Project · Bid-Analysis SystemCore Developer
Core developer on my advisor’s university–enterprise collaboration: requirement analysis, architecture design and iterative development of an intelligent bid-document analysis system. Gained enterprise-grade software-engineering and vertical-domain AI experience; results filed as an invention patent (published).
- Jan2024 - Sep2025Programming & Modeling ContestsContestant
Algorithm programming contests (ICPC / CCPC-style, 蓝桥杯, Codeforces practice) and mathematical modeling (2025 MCM Problem C). Distilled the training into an open-source library — cp-templates (42 templates, 85%+ coverage) — before shifting focus to research.
Let's build something worth building
Want to collaborate, discuss an opportunity, or just say hi — reach me by email or social.