Kathy Chen
Software Engineer
Recently Gen AI Developer at Dandilyonn Seeds
My Journey
A timeline of my career progression, key milestones, and the experiences that shaped me as a software engineer and developer.
Bachelor of Science, Computer Science (Data Science concentration)
University of Maryland - CMNS
Studying computer science with a focus on data science. Completed coursework in OOP, systems programming, databases, AI, statistics, and accounting.
- Cumulative GPA: 3.6
- Nominee for 2024 & 2025 Academy of Academic Excellence Awards
Full Stack Engineer - Amazon Kuiper
App Dev Club UMD
Working on the Amazon Kuiper Project to build a full stack application that uses geospatial data to identify airports and map safe operating zones, helping satellite networks comply with safety regulations near airports.
HopHack 2025 Hackaton
Johns Hopkins University
Develop "Gobble", the Intelligent Food Management: remind you to eat food that is going to expire, and an AI recipe maker that will give you recipe recommendations based on what you currently have.
- Given the URL of a specific YouTube recipe video, generate a complete recipe guide that includes a detailed list of ingredients and step by step cooking instructions.
- Shelf life calculator that accounts for putting food on the shelf, fridge, or freezer.
- Create FastAPI endpoint to connect to supabase backend to retrieve recipe data to display in recipe page
- Created recipe page display
Gen AI Developer Intern
Dandilyonn Seeds
Designed and implemented an AI-powered interview prep system in Python using multi-agent workflows, integrating Gmail, Tavily, and OpenAI APIs to automate personalized prep guide generation.
- Achieved 92% research confidence in generated prep guides
- Reduced API costs by 60% through caching and duplicate prevention
- Wrote thorough pytest test suites for quality assurance and easy debugging.
Undergraduate Researcher
Do Quantum UMD
Researching hybrid classical quantum neural networks, focusing on quantum circuits and task partitioning between classical and quantum computation.
- Collaborating in a 5-person research team
Predictive Modeling of Seasonal Pollen Exposure
University Project
Built a decision tree classifier to forecast pollen intensity using weather, land cover, and phenophase datasets.
- Optimized data pipeline reducing fetch time from 10 mins to 20 secs
- Achieved 87% training accuracy and 68% test accuracy
VT Hack 2025 Hackathon
Virginia Tech
Developed a React/Python app that fetches Zillow housing data and highlights disaster-prone areas on Google Maps.
- Integrated map with markers for disaster zones
Frontend Workshop Host & Mentor
UMD Hackathon - Technica 2024
Designed and hosted a React fundamentals workshop for 25+ participants, providing hands on exercises and one on one mentoring during the hackathon.
- Mentored multiple participants during the event
Mobile Developer Intern
Dandilyonn Seeds
Designed and developed a social media mobile app promoting healthier food options for students using React Native and Cloud Firestore.
- Optimized loading times by 30% via filter system implementation
- Conducted user interviews and market research to inform design
- Prototyped wireframes with Figma
- Created and maintained project documentation
BitCamp 2024 Hackathon
University of Maryland
Collaborated on a Svelte/Flask app to display natural disaster impacts on housing prices.
- Part of frontend team learning Svelte and Git
KPMG Business Case Competition (3rd Place)
KPMG
Analyzed financial data using accounting theories and developed a Java program to detect anomalies.
- Placed 3rd in national business case competition
SmallC Interpreter, Optimizer, Type Checker & Inferencer
University Project
Implemented lexer, parser, interpreter, static analysis, type checking, and inference for SmallC language in OCaml.
Multi-threaded Pseudo Project Submission System
University Project
Created a multi threaded Java application simulating concurrent student submissions with thread safety.
- Ensured data integrity and synchronization