Jeffrey Lan Email & Phone Number

Seattle, Washington, United States

• Rebuilt the UWClassmate website using Next.js, TailwindCSS, and Prisma, resulting in a more user-friendly and responsive design, and increased page loading speed by 50%• Enhanced website security and UX by refining the authentication system, resulting in a 50% decrease in unauthorized access attempts and a 15% increase in user registrations• Optimized the website’s API and database schema using best practices in the industry, improving the data integrity and query performance of the… Show more • Rebuilt the UWClassmate website using Next.js, TailwindCSS, and Prisma, resulting in a more user-friendly and responsive design, and increased page loading speed by 50%• Enhanced website security and UX by refining the authentication system, resulting in a 50% decrease in unauthorized access attempts and a 15% increase in user registrations• Optimized the website’s API and database schema using best practices in the industry, improving the data integrity and query performance of the website leading to a 35% improvement in data query performance• Led a team of around 10 individuals, ensuring successful project completion, enhancing team collaboration, and promoting professional growth• Authored comprehensive API documentation, streamlining developer onboarding by 40% and reducing backend-related queries by 60% Show less

- Transform the old landing page to a new version by implementing Figma design using Next.js and deployed it on Vercel

Seattle, Washington, United States

• Engineered a robust backend authentication system using AWS Cognito, enhancing platform security and reducing unauthorized access attempts by 80%• Spearheaded the integration with Agora for live streaming, resulting in a 50% increase in user engagement and real-time interactions• Designed a comprehensive database schema tailored for live streaming, optimizing data retrieval times by 40%

Seattle, Washington, United States

• Engineered a responsive website for the EmojiCloud Python package using Python FastAPI (backend) and Next.js(frontend) with WebSocket communication• Containerized the entire application using Docker, reducing deployment times by 50% and ensuring consistent environment setups• Architected a robust task queue system using Celery, RabbitMQ, and Redis, deployed on AWS with AWS EC2, AWS MQ, and AWS ElasticCache, achieving a 99.95% uptime on AWS and handling over 100 tasks per hour