hello, my name is
Tiffany Yung
I enjoy building end-to-end products powered by data and machine learning, with experience across full-stack and backend systems.
Alongside coursework in systems programming, design & analysis of algorithms, information systems, and computer graphics, I’m constantly building projects that challenge and excite me!
Explore my workAbout Me
I'm currently a CS & Math double major @ Purdue University with a minor in Mathematical Econ. I enjoy building end-to-end, data-driven products, especially backend systems and applied machine learning tools.
Last summer, I worked as an SDE intern at AWS, building features for the internal ticketing API used across Amazon. I’m looking forward to returning this summer to dive deeper into large-scale systems and backend infrastructure. Currently, I’m balancing coursework with projects that let me experiment with new ideas and technologies.
Outside of coding, you can usually find me dancing, playing poker, taking photos on my camera, or searching for good matcha!
Here are a few technologies I've been working with recently:
- >C/C++
- >Pinecone
- >SQL
- >LangChain
- >Python
- >Flask
- >Tailwind
- >AWS
Where I've Worked
Software Development Engineer Intern @ Amazon Web Services
June 2026 — August 2026
- Returning Summer 2026.
Things I've Built
project-preview
Featured Project
MarketPulse
A financial news sentiment analysis pipeline using FinBERT to score articles from Yahoo Finance, MarketWatch, and NewsAPI. Detects short-term shifts in stock market sentiment and generates hourly buy/sell/hold signals from sentiment deltas, visualized in a Streamlit dashboard.
- Python
- Pandas
- PyTorch
- Hugging Face
- Streamlit
project-preview
Featured Project
Functionary
An interactive tool for developers to visualize complex codebases, streamlining onboarding processes. Uses Abstract Syntax Tree parsing to map function calls and dependencies, with a RAG pipeline powered by Pinecone for semantic search and context-aware LLM queries.
- React
- Express/Node.js
- MongoDB
- Pinecone
- OpenAI
project-preview
Featured Project
EcoSentry
A Raspberry Pi-based IoT system that streams camera data to a self-trained TensorFlow CNN for real-time wildlife detection, achieving 70%+ accuracy and triggering automated alerts for high-risk sightings. Includes a React Native app with Firebase storage and Twilio SMS integration.
- TensorFlow
- Firebase
- React Native
- Twilio
- Raspberry Pi
04. What's Next?
Get In Touch
I'm currently open to new opportunities and my inbox is always open. Whether you have a question, want to collaborate, or just want to say hi, I'll do my best to get back to you!
Say Hello