Hi, I'm

Weijia Fang

Engineer · Builder · Product-Minded

I turn ideas into thoughtful digital products.

I come from a background in data science and product development, and I care deeply about building tools that feel useful, thoughtful, and human.

📍 SF Bay Area·USC · MS Applied Data Science · '25

Weijia Fang

USC '25 ✦

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What I've built

apps & more
See all →
📱

MindPrints

iOS · TestFlight

A screenshot-native iOS app for turning saved fragments into a searchable archive of attention.

Treats screenshots as first-class memory objects, layering OCR, AI interpretation, retrieval, and resurfacing on top of a local-first archive.

What I owned

  • End-to-end ownership from product design to full native iOS implementation
  • Screenshot-native data model and local-first archive architecture
  • Capture/import flows, OCR pipeline, and AI-assisted interpretation
  • Natural-language retrieval built around semantic recall
  • Persona-based AI system and resurfacing interaction loop
  • Widget, notification, and system-level iOS integrations

Tech Stacks

SwiftUIVision OCROpenAI APIWidgetKitActivityKitMultimodal prompting
Explore MindPrints →
🎙️

ThinkWell AI

Web App · Live

A research workbench for podcast creators — import episodes, build a knowledge base, and talk to your content library.

ThinkWell (问渠) lets content creators import podcast episodes by URL, get AI transcripts, and run RAG-powered conversations across individual shows or their entire library — so they understand the landscape before they speak.

What I owned

  • Full-stack product ownership from concept and UX to frontend and backend implementation
  • RAG pipeline with pgvector embeddings for semantic retrieval across transcripts
  • BYOK architecture supporting OpenAI and Anthropic with graceful fallback
  • Multi-threaded conversation system with AI-generated naming
  • @mention system for multi-podcast discussions with sequential AI personas
  • Custom i18n system with full EN/CN UI coverage

Tech Stacks

Next.jsFastAPISupabasepgvectorOpenAI APIAnthropic APIWhisperRAG
Visit ThinkWell →

About

Builder by instinct,
engineer by training.

I build digital products with a strong bias toward clarity, usefulness, and real-world fit. My background spans big data engineering, software development, AI integration, and interface design — and I'm especially drawn to products that feel thoughtful from both the inside and the outside.

What drives me is not just how something works, but why it deserves to exist. I care about building tools that are technically solid, emotionally intuitive, and shaped by a clear product point of view.

📱

iOS Development

Building native iOS apps with SwiftUI, with a focus on clarity, polish, and real-world usability.

🤖

AI & LLM Integration

Quick to spot where new AI capabilities can create real product value — and how to apply them through prompting, structured outputs, and practical workflows.

🪄

Product Experience

I care about how products feel in use, and how AI is reshaping that experience — not just making things work, but making them feel clear, intuitive, and worth trusting.

🗺️

Product Thinking

I ask why before I ask how. Product sense built from owning projects end-to-end.

Tools & Technologies

Languages
PythonSQLRJavaJavaScript / TypeScriptSwiftHTMLCSS
iOS
SwiftUISwiftDataApple VisionVisionKitPhotosUIWidgetKitAVFoundationUserNotifications
AI & ML
OpenAI APIAnthropic APIDeepSeek APIMultimodal promptingscikit-learnTensorFlowPyTorchXGBoostKeras
Web Dev
React.jsNext.jsNode.jsTailwind CSSFramer MotionBootstrapFirebaseVercel
Infra & Cloud
Spark (PySpark)HadoopAWS AthenaAWS S3MySQLPostgreSQLMongoDBSQLiteDockerCI/CDLinux
Data & Viz
PandasNumPyD3.jsMatplotlibSeabornAltairggplot2TableauPower BI
Design
FigmaProcreate

Based in

San Francisco Bay Area

Currently

Building & exploring new opportunities

Education

USC — MS Applied Data Science

PSU — BS Applied Data Science