Yale University
Biostatistics Data Science
Advanced coursework in statistical methods, machine learning, data analysis, and computational biology. Research focus on NLP and knowledge graphs in genomics.
AI Solution Builder turning real-world problems into practical agent and LLM systems.
Yale Biostatistics & Data Science student with a cross-disciplinary background in information systems, finance, and data science, focused on enterprise AI agents, RAG, and intelligent search solutions.

I'm an AI Solution Builder focused on turning real business problems into practical AI systems, from enterprise agents and RAG to intelligent search and workflow automation.
My background spans information systems, finance, biostatistics, and data science. Since 2024, I have been building the technical and product judgment needed to connect business needs with modern AI capabilities.
I work across the full solution lifecycle: understanding the problem, framing measurable value, designing the architecture, building the POC, and evaluating whether the system is ready for a real operating environment.
I care about AI solutions that do more than look impressive in a demo—they should be useful, controllable, and able to create measurable value for the people and organizations adopting them.
Biostatistics Data Science
Advanced coursework in statistical methods, machine learning, data analysis, and computational biology. Research focus on NLP and knowledge graphs in genomics.
Information Management and Information Systems (Finance.)
Comprehensive coursework in Java, Python, Database Systems, Web Design, and System Design. Strong foundation in information systems, data management, and software development.
Agentic Multimodal Search System
Built an Agentic Multimodal Search System POC to improve search coverage and relevance, supporting hybrid retrieval and temporal queries. Developed a multimedia indexing pipeline and an LLM query understanding module for NL-to-DSL parsing, fine-tuning domain-specific LLMs to optimize retrieval and server-side performance.
BioGraphRAG Biomedical Retrieval System
Built a GraphRAG-style biomedical mechanism retrieval system with DAG reasoning constraints to reduce semantic drift. Designed a comprehensive retrieval pipeline integrating Neo4j multi-hop search, semantic index construction, and FAISS reranking to generate traceable mechanism explanations.
3 of 5 projects
Agents and workspaces built around retrieval, reasoning, and operational AI workflows.

A text-to-any retrieval agent that can search across different data formats from natural language.

An agent that improves how it searches through your knowledge database over repeated use.

A structured clinical interview system for collecting patient context and supporting safer medical reasoning.
3 of 4 projects
Personal utilities that turn messy inputs into searchable, usable learning and work systems.

A productivity utility that turns quick screenshots into structured AI knowledge notes.

A focused learning video website designed to reduce distraction while watching and studying.

A full-stack academic research agent for multi-session research assistance and knowledge workflows.
3 projects
Experiments where AI is used as a playful interface, creator tool, or narrative system.

An interactive narrative experience wrapped in a cinematic interface.

A RedNote AI co-creation tool for drafting and shaping creator content.

An AI search content optimization tool for RedNote content creators.
在现在的 AI 时代,如果还抱着过去那种“死磕一门语言、做某个语言的垂直专家”的旧观念不放,就是所谓在用战术上的勤奋来掩盖战略上的懒惰。
最近一段时间一直在快速学习大量新的技术知识。AI、LLM、Agent、系统设计、云计算、软件工程,每天接触很多新的概念。我习惯把学习内容整理到 Notion 里面,通过建立不同层级的页面,把知识按照主题进行分类。
讨论下 Anthropic 关于 RSI,也就是 Recursive SelfImprovement 的研究。
A placeholder episode about turning notes, projects, and deployment mistakes into a portfolio that can be reviewed by real engineering teams.
A future discussion on making long-form learning material easier to search, summarize, and revisit through retrieval-augmented interfaces.
A draft episode about shipping small public tools with clear version control, scoped releases, and realistic infrastructure choices.
The form opens your email client with a prepared message. Direct email works too.
chengshuo.dai23@gmail.com