Tom Guo Email & Phone Number

Canada

Ontario, Canada

• Contributed to the development of a music-centric social media platform as a full-stack web and mobile development using Node.js, TypeScript, and React/CSS.• Developed backend logic to handle API calls for fetching and processing trending posts and artists' data.• Optimized `User` type for streamlined and efficient data storage in MongoDB, reducing redundancy and improving query performance.• Introduced a seamless user avatar creation and upload process with a clean and intuitive selection interface.• Enhanced notification system by introducing notification stacks and new pagination logic to optimize load times and scalability.• Elevated front-end quality of life and managed i18next translation files for seamless internationalization.

London, Ontario, Canada

• Conducted research on a project focused on leveraging machine learning algorithms to diagnose eye diseases through comprehensive analysis of retinal images.• Assisted in conducting data analyses, generating summaries and reports to support project development.• Designed and deployed a robust machine learning model utilizing Python, PyTorch, and Pandas, to first standardize the retinal images and then accurately evaluate their quality.• Collaborated closely with researchers and project staff to enhance the machine learning model's performance and contribute to the overall research objectives.

Ontario, Canada

• Full-stack mobile application development for an investment-focused social media project.• Developed and implemented features including a feed, authentication process, and profile setup pages for a cross-platform mobile app using React Native and TypeScript for front-end development, and Node.js for back-end development.• Implemented Firebase authentication for user login and registration.• Implemented a database using MongoDB to store user data and facilitate real-time data rendering.• Created intuitive and robust UI/UX with Figma for company investor presentations.• Wrote and deployed multiple parsers using pandas and Tesseract OCR Engine to create a functional pipeline that accurately extracts information from annual statements and stores them in a PostgreSQL database.