# Ries Cheung > SWE @ Wayfair Location: Boston, Massachusetts, United States Profile: https://flows.cv/ries ## Work Experience ### Software Engineer @ Wayfair Jan 2024 – Present ### Software Engineer Intern @ Arrivo Jan 2023 – Jan 2023 | San Diego Metropolitan Area • Optimized database cleanliness by creating a custom entity resolution framework for bank transaction details (95% accuracy) in Python, running on AWS Lambda with AWS secrets manager for security. ◦ Consolidated system reliability and ensured optimal server uptime by implementing rigorous end-to-end Cypress testing, ensuring seamless user experience for 500K+ monthly active users. ◦ Improved UI/UX through overhauling React components and integrating Redux features. ### Zhu Lab: Climate Analysis @ University of Michigan Jan 2023 – Jan 2023 ### Real-Time and Virtual Driving Simulation @ University of Michigan Jan 2021 – Jan 2023 | Michigan, United States • Motor vehicles must be safe and easy to use, however, many driving simulators are too expensive to purchase, too complex to use, take too long to program, and sometimes lack the desired functional characteristics. • The goal of this project is to build an easy–to–use driving simulator platform through the creative use of free software (e.g., OpenDS, Roadrunner), simple hardware, to develop a driving simulator suitable to support research on driver distraction, driver workload, and driver interfaces for partially–automated vehicles. ### Software Engineer Intern @ Suri & Huacaya LLC Jan 2021 – Jan 2022 | Remote • Design Services: Develop and personalize the corporate website with customized HTML/CSS to ensure the client’s needs and standards regarding UXUI, boosting local sales by 38% and increasing SEO traffic by 47%. • Launched a client-facing e-commerce store using Javascript and frameworks like React for the UI • Backend Services: Utilized NodeJS for the Log-in system and integrated Shopify’s API to handle transactions within the website. ### Computer Vision Engineer @ Michigan Mars Rover - Student Project Team Jan 2021 – Jan 2021 | United States • Experimented with virtual machines and containers (i.e. Docker) for compatibility of Carla on different machines. (Eg. Some code not working with M1 chip) • Applying TensorFlow Object Detection API to train custom ML models on Google Cloud that detects obstacles in real-time to 80% accuracy. • Tested the models through point clouds system created in C++ for testing models trained. ### Computer Vision Developer Intern @ AI Academy Jan 2020 – Jan 2020 | Hong Kong, Hong Kong SAR • Labelled security footage of spotted animals and designed the front-end of the animal detection application used in the conservation of wildlife. • Shadowed developers in their development of the computer vision program for Lu Fu Shan. • Perform routine site audits, as well as ongoing maintenance, and add-on improvement as needed ### Monticle Military training camp @ Monticle Leadership Association Jan 2016 – Jan 2018 | Markham, Ontario, Canada •Finished a 7-day expedition in Algonquin Park and a 160km walkathon to Niagara falls from Toronto airport. •Invited to finish the enhancement training due to excellence in the first camp, which included logistic management, team management, & ensuring team members were able to accomplish the camp. •Served as a group leader in the process of planning and assisting required items for the trips. ## Education ### Master's degree in Computer Science Georgia Institute of Technology ### Bachelor's degree in Computer Science University of Michigan ### Bachelor of Science - BS in Computer Science Queen's University ### A-Levels in Computer Science, Mathematics, Psychology Truro School ## Contact & Social - LinkedIn: https://linkedin.com/in/ries-cheung0829 --- Source: https://flows.cv/ries JSON Resume: https://flows.cv/ries/resume.json Last updated: 2026-03-28