Hello! My name is Jessica!
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Work Experience: Product Engineer at NETGEAR, Inc.
5G, LTE, WiFi 5, WiFi 6E, C#, PuTTY, Telnet, ADB, Agile PLM, Excel
- Valuable member of the team that spearheads groundbreaking LTE/5G/WiFi 5/WiFi 6E products.
- Thoroughly tested and processed 100+ returned products to verify issues and identify fixes.
- Assisted product managers with design requirements by providing usage data and stress testing.
- Published and pushed critical firmware packages over-the-air, tracking progress with Agile PLM.
- Managed logistics for the department, shipping dozens of products to customers and manufacturers.
- Analyzed data from customers and testers with Excel and presented findings to higher-ups.
- Created automated configuration tools using C# to streamline difficult routines.
- Collaborated with the product line, software, hardware, and certification teams and resolved
conflicts to realize the best solutions for all sides.
- Demonstrated corporate etiquette and networking skills throughout the company.
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Human-Computer Interaction, Statistics, Figma
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MongoDB, NoSQL, Node.js, React, Figma
Created for NWHacks Cmd-F 2025. Winner of the Filmora Creation Prize
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Project: Document Digitizer
Python, AWS, Textract, Jira
Created for Coast Capital Savings as our CPSC 319 project.
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Project: Recipe Database App
Database Design, Java, SQL, Oracle DBMS
- Designed, normalized, and initialized a recipe database using ER diagrams and SQL scripts.
- Implemented a clean GUI to allow user interaction and sanitized inputs to prevent injections.
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Project and Report: Concrete Crack Detector
Computer Vision, Machine Learning, Python, PyTorch, Lightning, Numpy, Pandas, Anaconda, Jupyter
Trained a ResNet18 model to recognize cracks in images of concrete at 92.2% accuracy.
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Project: UBC Course and Classroom Database Viewer
Agile, TypeScript, JavaScript, HTML, CSS, Yarn, test automation
- Designed and implemented a back-end UBC course database application, a stylish front-end webpage UI, and a web server allowing them to communicate with a RESTful API.
- Collaborated successfully with a partner using Agile/Scrum and industry-standard practices.
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Report: AirBnB Pricing Trend Analysis
Data Science, Statistics, R, Python, Jupyter, ggplot, dplyr and infer packages, web scraping
- Combined data from Kaggle, scholarly writing skills, data science technologies, and hypothesis testing to synthesize a professional-quality paper statistically analyzing Airbnb pricing trends.
- Communicated clearly and resolved conflicts to ensure success in our team of four.
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