I'm Nathan Lin
Developer & Designer
About Me
I am a 4th year Georgia Tech Computational Media student with a focus on Full-Stack Development, Interaction Design, and AI. Passionate about creating impactful technology, I design and build intuitive solutions that address real-world challenges, and love the process of ideation to reality. In my free time, I enjoy being active and playing tennis and volleyball!
My Skills
I have a strong foundation in frontend development, where I excel at transforming ideas into interactive and responsive web applications. Working closely with UI/UX teams in Figma, I design intuitive user interfaces with a focus on seamless user experiences. I bring these designs to life using technologies like JavaScript, React, Vue, and CSS frameworks such as Bootstrap and TailwindCSS.
On the backend, I have experience building scalable and efficient server-side applications using Node.js and Flask. I work with both MongoDB and InfluxDB to handle large-scale data, ensuring optimized database performance.
My Works
SellRaze
SellRaze was an AI‑powered e‑commerce platform that listed items across eBay, Facebook, Depop, and Mercari from a single photo or barcode scan, automating posts to expand sellers’ reach.
I converted the React Native/TypeScript mobile app into a desktop client using React, TypeScript, and Tailwind CSS, adapting features for larger screens with responsive layouts and streamlined workflows for listings, shipping, and customer management.
Full-stack Development
AwareHome SmartBathroom Dashboard
This is a web-app that allows occupational therapists to analyze and interact with the data coming from sensors within the SmartSeat to monitor patient movements and assess the physical health of older adults.
The project utilizes ReactJS for the frontend, with a Flask API backend. Data management is handled through InfluxDB and real-time updates are managed via HomeAssistant. Graphing capabilities are done though syncing the data to a Grafana dashdoard to analyze data.
IN PROGRESS
Full-stack Development
Research
Design
UniBuzzy
As a university student, UniBuzzy is your go-to app to connect with other students on campus, attend exciting events, and discuss the hottest news.
The application was developed using Vue for the frontend and SpringBoot and OracleDB for backend services, while integrating with external APIs for real-time event management. As the front-end development lead, I led the team by managing 50+ weekly merges and organizing SCRUM meetings to ensure smooth integration and timely feature delivery.
Full-stack Development
Leadership
COVID-19 Detection Model
Developed an AI‑powered COVID‑19 diagnosis system using chest X‑ray analysis, reaching 90% accuracy through targeted research and model fine‑tuning.
Employed a multimodal late‑fusion strategy combining X‑ray images with clinical data, implemented in Python/TensorFlow and optimized via Monte Carlo dropout and Bayesian optimization.
IN PROGRESS
Back-end Development
Research
Punchshot Pickleball
Punchshot Pickleball is a client-requested project managed by GT WebDev that allows pickleball players to join and create teams and compete in local leagues.
The app was built using ReactJS for the frontend, with backend services powered by NodeJS/ExpressJS and data stored in MongoDB. It integrates APIs like SendGrid for email notifications and Google Maps for geolocation.
Front-end Development
Consultative Sales Assessment
This is a generative AI-powered application under Technology Liberation Corporation that assesses the sales performance of a company’s sales team.
The frontend is developed using ReactJS, while the backend is integrated using NodeJS. The application also leverages Google Cloud APIs for data analysis, with prompts generated using the GPT API.
Internship
Front-end Development
Design