Cathy Fu  +1 (778) 636-3682 |  cathyfu1215@gmail.com  | Vancouver, BC, Canada | Canadian Open Work Permit Holder

https://github.com/cathyfu1215 | https://www.linkedin.com/in/cathy1215/ | https://sites.google.com/view/cathy1215/

Summary

• Full stack developer with dual Master’s degrees in Computer Science and Finance.

• Skilled in logical problem-solving, product thinking, and cross-functional communication.

• Passionate about building impactful, user-centered products and contributing to smart, supportive teams.

Education

Master of Science in Computer Science, Northeastern University, Vancouver, BC, Canada                                                                    09/2023 - 12/2024

GPA: 4.0/4.0 | Courses: Foundations of Software Engineering, Algorithms, Mobile/Web Development, Cloud Computing, Databases

Master of Science in Money and Finance, Goethe University Frankfurt, Frankfurt am Main, Germany

Courses: Statistics, Applied Econometrics, Quantitative Research Methods

Bachelor of Science in Business Administration, The Ohio State University, Columbus, Ohio, USA

GPA: 3.8/4.0 | Dean’s List, magna cum laude | Ernst & Young Minority Scholarship | TA in Financial Accounting

Technical Skills

Languages: Python, Java, C, C#, JavaScript, TypeScript, Ruby, SQL (MySQL, PostgreSQL), GraphQL, HTML, CSS

Frameworks & Libraries: React, React Native, Vue, Node.js, Express, Next.js, Redux, Jest, Spring Boot, JUnit, Cypress, .NET, Webpack, Vite

Database & Cloud Platforms: MongoDB, Google Firebase, Pinecone (vector database), AWS, Azure, Google Cloud Platform

AI/ML: LangChain, OpenAI APIs, PyTorch, Reinforcement Learning, Computer Vision (OpenCV, YOLOv8)

Tools & DevOps: Linux, Docker, Kubernetes, Git, GitHub Actions, Figma, Balsamiq

Professional Experience

D3 Security | Vancouver, BC | Software Engineer June 2025

Tech Stack: Python, C#, jQuery, SQL, Microsoft SQL Server, MongoDB, Docker

• Developed Python integrations for the CyberArk project, injecting workflows into the VSOC platform via SQL, and rapidly ramped up to support complex backend systems in a mature production environment

• Designed and implemented robust unit and end-to-end tests leveraging AI tools, demonstrating an innovative, out-of-the-box approach to improving code reliability and coverage

• Proactively created clear documentation in the absence of structured onboarding, helping future developers navigate complex workflows and earning recognition for initiative, clarity, and strong collaboration

GreenNudge | Vancouver, BC | Software Developer (Intern)                                                                               09/2024 - 12/2024

Tech Stack: JavaScript, React, Node.js, AWS EC2, DynamoDB, S3, Nginx, Git                                   

• Designed and built a responsive web platform using React and Node.js, adhering to green computing principles; Collaborated with cross-functional teams to enhance user experience

• Implemented a scalable AWS cloud architecture using EC2, DynamoDB, and S3, reducing cloud storage requirements by 40% through optimized database schema design and real-time data parsing

Personal Projects

Husky Interview Prep | Vancouver AI Space (Online Program)                                                                                                         02/2025 - 05/2025

Tech Stack: Python, Flask, LangChain, TogetherAI, OpenAI APIs, Llama, Gradio, Jupyter, Cursor

• Engineered an AI-powered web application utilizing OpenAI APIs and LangChain, resulting in a realistic mock interview platform that delivers detailed performance analytics and personalized feedback to users

• Orchestrated the integration of multiple LLM services (OpenAI, TogetherAI, Llama) to optimize cost efficiency while maintaining high-quality response generation, establishing a scalable architecture for future feature expansion

• Awarded 1st place in the Vancouver AI Meetup community project competition, recognizing innovation and technical excellence

Feedback Web App                                                                                                                                                                                                                    04/2025 

Tech Stack: C#, .NET, Supabase(PostgreSQL), Azure, CI/CD

• Built a full-stack feedback app using .NET Razor Pages (C#) for server-side rendering and PostgreSQL for data persistence. Leveraged JavaScript for client interactivity, showcasing hybrid architecture thinking

Husky Job Application Tracker | Northeastern University                                                                                                                                      08/2024

Tech Stack: JavaScript, React Native, Google Firebase, Third-party APIs, Git

• ​​​​Developed a React Native app with Firebase integration, earning a 96% rating from professors and classmates by delivering an intuitive UI/UX informed by comprehensive market research

• Led iterative development cycles using paper prototyping and user feedback, driving increased feature adoption through collaborative stakeholder engagement

• Designed and optimized responsive, high-performance solutions for cross-platform compatibility (iOS & Android), showcasing strong problem-solving skills

Food Planner | Northeastern University                                                                                                   07/2024

Tech Stack: Python, Pandas, Numpy, scikit-learn, Streamlit, Linear Programming, Google OR-tools

• Designed and executed statistical analysis on large datasets from multiple government sources, demonstrating advanced data modeling capabilities

• Implemented optimization techniques using linear programming to solve complex decision problems

• Created an intuitive Streamlit interface that translated complex data analysis into actionable insights for non-technical users

The Elevator Project | Northeastern University                                                                                                                                                            04/2024

Tech Stack: Java, JUnit, Swing

• Engineered a multi-elevator control system achieving 100% test coverage through JUnit, demonstrating commitment to quality and automated testing principles

• Enhanced system architecture with MVC design pattern for improved scalability and developed an intuitive Java Swing UI, streamlining user onboarding

Certificates

FullStack Developer Certificate | University of Helsinki                                                                                                                                     2021 - 2022

Tech Stack: TypeScript, React, React Native, Express, Node.js, Redux, GraphQL, MongoDB, Jest, Kubernetes

• Built and deployed single-page React applications with Redux state management, significantly improving performance over traditional multi-page approaches

•  Implemented comprehensive Jest testing suites for front-end components, achieving 95% code coverage

• Developed responsive web services using Node.js, GraphQL, and RESTful APIs, enhancing data transfer efficiency through optimized queries

• Integrated CI/CD pipelines using GitHub Actions, automating build, test, and deployment processes for streamlined application delivery

Activities

CyberSci Hackathon | Vancouver, BC                                                                                                                                                                                 11/2024

• Competed in the Capture the Flag competition, securing 5th place in Vancouver while representing Northeastern University in a team of 5

• Gained hands-on experience in operating systems and network security fundamentals

Google Cloud Vertex AI Agent Builder Hackathon | Vancouver, BC                                                                                                                     06/2024

Tech Stack: Vertex AI, Google Cloud Platform, Gemini, JavaScript, Python, HTML, CSS, Github.io

• Applied AI technologies to build Wellness Bot using Google Vertex AI, implementing advanced prompt engineering techniques and few-shot examples for improved performance

• Collaborated with a team of 3 to integrate AI-driven solutions into a practical application, staying current with latest advancements in large language model capabilities

YVR Smart Airport Hackathon | Richmond, BC                                                                                           04/2024

Tech Stack: Java, Python, OpenCV, Yolo8

• Collaborated in a diversified group of 8, secured 2nd place among 130+ participants by developing an innovative safety concern detection model using computer vision libraries

• Created a safety concern alert system in Java that enabled issue reporting and assigned responders for swift resolution