Open to opportunities

Justin Lee

@justinlee5

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Experienced Staff Software Engineer specializing in scalable AI-powered solutions.

United States

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What I'm looking for

I am seeking a challenging role that fosters innovation and collaboration, with opportunities for growth and leadership in software development.

As a Staff Software Engineer at Amazon, I have designed and built innovative, AI-powered e-commerce platforms that enhance user engagement and drive sales. My work on Amazon Haul involved creating a scalable microservices architecture using Java, Spring Boot, and AWS, alongside a high-performance frontend with Next.js and TypeScript. This project not only improved mobile conversion rates but also significantly increased customer satisfaction through personalized recommendations.

Prior to Amazon, I served as a Senior Software Engineer at Amwell, where I played a crucial role in migrating legacy telehealth services to a cloud-native platform. My contributions included developing end-to-end video consultation features and ensuring HIPAA compliance through robust data protection practices. My passion for leveraging technology to solve complex problems drives my commitment to delivering high-quality software solutions.

Experience

Work history, roles, and key accomplishments

Current

Staff Software Engineer

Current

Amazon

Jul 2019 - Present (6 years)

Designed and built Amazon Haul, a scalable, AI-powered, microservices-based ecommerce platform, delivering dynamic product pages, personalized home feeds, and adaptive carts that improved user engagement and significantly increased mobile conversion rates. Built an AI-powered recommendation system using Python/FastAPI and Amazon’s LLM ecosystem, integrating user behavior signals and product metada

Java Spring Boot AWS Next.js TypeScript Python fastAPI LLM RESTful APIs OAuth 2.0 JWT AWS IAM AWS Graviton EC2 Lambda Jest Cypress Junit GitHub Actions Jenkins Agile Scrum Kanban

Senior Software Engineer

Amwell

Apr 2015 - Present (10 years 3 months)

Contributed significantly to the migration of legacy telehealth services to the new cloud-native Converge platform, refactoring monolithic Java/SpringBoot applications into microservices on AWS (ECS, Lambda, RDS), reducing system downtime and increasing virtual visit success rates by over 20%. Developed end-to-end video consultation features using WebRTC and secure SIP/WebSocket signaling, integra

Java Spring Boot AWS ECS Lambda RDS WebRTC SIP EHR HL7 FHIR RESTful APIs React AWS Cloudwatch Apache Kafka SQL Docker Kubernetes

Education

Degrees, certifications, and relevant coursework

San Francisco State University

Bachelor's degree, Computer Science

Completed a comprehensive curriculum in computer science, gaining foundational knowledge in programming, algorithms, and data structures. Focused on developing strong problem-solving skills and understanding complex computational concepts.