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 workExperiences
Professional
Software Development Engineer Intern @ Amazon Web Services
June 2026 — August 2026
- Returning Summer 2026!
Software Development Engineer Intern @ Amazon Web Services
May 2025 — August 2025
- Expanded features of an AWS-native ticket and issue management API handling 130M+ daily requests, adding support for priority and label-based filtering to improve ticket triage and workflows.
- Implemented end-to-end changes through model, service, and datastore layers — including enum validation, duplicate-label handling, and event auditing — and partnered with senior engineers on API schema decisions across 7 ticket operations.
- Authored a technical design document, contributed to code reviews, and designed unit tests, integration tests, and canaries to validate API behavior across CRUD operations and failure cases for a safe two-phase production rollout.
Software Engineer Intern @ Respan, Formerly KeywordsAI (YC W24)
Jan 2023 — May 2023
- Built an NLP-powered resume evaluation tool in Python that performs semantic analysis of keyword and action-verb usage to deliver actionable improvement recommendations to users.
- Developed a Pandas preprocessing pipeline to clean and tokenize job postings for training an LLM job search copilot.
Extracurricular
RAG Team Developer — BoilerCheck @ Google Developer Group Purdue
Jan 2026 — Apr 2026
- Orchestrated a RAG pipeline using LangChain and Pinecone to enable source-backed Q&A across 450+ pages of Purdue University policy documents, with Firebase for storage and Gemini for post-retrieval answer generation.
- Designed an evaluation framework benchmarking 30+ combinations of embedding models and rerankers across hit rate, MRR, and context precision on a gold-standard eval set to select an optimal retrieval stack over vanilla RAG.
- Integrated cross-encoder and LLM-as-a-judge reranking into the retrieval pipeline, improving MRR@4 by 14.3% and pushing hit rate from 90% to 100% over cosine similarity alone.
Project Lead — Social Stock Exchange @ Purdue Stack
Sept 2025 — Dec 2025
- Led a 6-person team to ship a real-time celebrity news feed as a core component for a Social Stock Exchange platform.
- We implemented web scraping and LLM pipeline using Axios, Cheerio, NewsAPI, and Gemini to ingest celebrity-related news articles and developed a ranking algorithm to surface trending topics based on trend velocity, entity mention frequency, and recency.
- Owned the technical architecture, project scoping, weekly sprint planning, and code reviews across the full stack.
Computer Vision Researcher @ Purdue Vertically Integrated Projects (VIP)
Aug 2025 — Dec 2025
- Built vision-guided robotics system for autonomous drumming using Baxter robot with AprilTag-based localization and spatial tracking.
- Processed camera input with OpenCV to detect AprilTags and compute 3D coordinates, translating targets into joint-space motions via inverse kinematics.
- Enabled dynamic recalibration and precise rhythmic strikes by integrating perception, motion planning, and ROS-based control pipelines.
Lead Programmer, Team Captain @ CyberCats — FRC Team 2872
Sept 2021 — June 2024
- Engineered robot localization and path-planning using AprilTag fiducial markers, odometry, and motion profiling to enable autonomous navigation, auto-aiming, and real-time pose estimation during matches.
- Spearheaded development of core robot subsystems including drivetrain, computer vision, and game-piece handling, applying PID and state-space control across autonomous and teleoperated operations.
Builder & Scholar @ Management & Technology Summer Institute (M&TSI)
July 2023 — July 2023
- 1 of 75 students selected for rigorous for-credit summer program centered around the integration of technological concepts and management principles.
- Developed EcoSentry, a machine learning-powered wildlife detection system that uses a CNN to identify animals in real-time and send alerts for safety.
- Introduced to technology entrepreneurship principles and No-Limit Texas Hold'em Poker -- thanks Lucas, W TA.
Computer Science Scholar @ Engineering Summer Academy (ESAP)
July 2022 — July 2022
- Cleaned and analyzed Netflix dataset using Pandas and NumPy to identify trends across genres, release years, and ratings.
- Built data visualizations with Matplotlib to highlight patterns in content distribution and viewer metrics.
- Applied data preprocessing and exploratory analysis techniques to extract insights from large datasets.
Things I've Built
Featured Project
Stock Market News Sentiment Analysis
A financial news sentiment analysis pipeline using FinBERT to score articles across 13 assets 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
Featured Project
SkyLog
A full-stack flight tracking web app featuring an interactive 3D globe visualization of past flights and a reporting feature that aggregates flights by airline, route, and date to surface stats like total flight time, total miles, and on-time rate.
- Python
- Flask
- PostgreSQL
- React
- Pandas
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 chatbot queries.
- React
- Express/Node.js
- MongoDB
- Pinecone
- OpenAI
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 80%+ accuracy and triggering automated alerts for high-risk sightings. Includes a React Native mobile app with Firebase storage and Twilio SMS integration to deliver notifications. Built at the Management & Technology Summer Institute hosted by the University of Pennsylvania Jerome Fisher Program in Management & Technology.
- TensorFlow
- Firebase
- React Native
- Twilio
- Raspberry Pi