Open to AI Solution Engineering & Architecture roles

Hello, I'mChengshuo Dai

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.

12
AI projects
48+
technical notes
2024
AI building journey
Chengshuo Dai
Available for hire
About

AI Solution Builder

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.

Education

Academic path

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.

Gerstein Lab ResearchNLP & Genomics

Capital University of Economics and Business

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.

Academic Excellence ScholarshipMerit StudentInformation Systems
Experience

Applied work

ETH | Machine Learning Engineer Intern (Nework, CA)

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.

Yale Gerstein Lab | Research Assistant

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.

Skills

Working toolkit

Languages

PythonRPyTorchTypeScriptSQLJava

Frameworks & tools

LangChainLLaMA FactoryElasticsearchDockerFastAPILinuxGitAWS

AI systems

RAGAgentic workflowsHybrid retrievalFine-tuningLLM evaluationGraphRAG

Product instincts

ObservabilityCost routingLatency tuningStructured UXTechnical writing
Projects

Agent project showcase

See more projects

3 of 5 projects

AI-Native Project

Agents and workspaces built around retrieval, reasoning, and operational AI workflows.

3 of 4 projects

Make me more productive (AI-Powered)

Personal utilities that turn messy inputs into searchable, usable learning and work systems.

3 projects

Just for fun (AI-Powered)

Experiments where AI is used as a playful interface, creator tool, or narrative system.

Blog

Latest notes

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Podcast

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Contact

Send a message

Let's talk about AI systems, research, or portfolio work.

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chengshuo.dai23@gmail.com