About

My projects range from IEEE-published research, to AI tools that real teams use, to a conservation nonprofit I started from scratch. What ties them together is access: each one takes information that was stuck in a system, a price tag, or a hundred scattered guides, and hands it to the people who need it.

I’m studying Economics and Data Science at UC Berkeley. The coursework builds the quantitative foundation, but most of what I’ve learned came from trying to build real things and figuring out what I got wrong.

I love connecting people and ideas. My best work happens when there’s a spreadsheet and a real conversation in the same room.

On AI: I use it to move faster and go deeper. It handles the repetitive work so I can focus on what actually needs a person. I’m not interested in replacing judgment or real conversation.

Faye Lin

Education

UC Berkeley

BA Data Science · BA Economics · Expected May 2028

Data Structures & Algorithms (CS 61B)Data Analysis & ModelingLinear AlgebraProbability & Statistics

Languages & Frameworks

PythonJavaSQL / MySQLVBAReactTypeScriptTailwind CSSNext.js

AI & ML

RAG / Retrieval Augmented GenerationMicrosoft AzureAzure AI FoundrySemantic KernelSharePoint / SPFxOllamaLlamaLangChainAnythingLLMAWS BedrockChromaDBDocker

Tools & Platforms

Git / GitHubExcelSolidWorksGlideAirtable

Domain

Commercial real estateVenture capitalAI product developmentFinancial modelingMarket researchDue diligencePrompt engineering