Open to opportunities

Richard Li

@richardli

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Senior full-stack engineer (9+ years) building scalable Python/AWS systems and AI-enhanced user experiences.

United States

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What I'm looking for

I’m looking for a team where I can build reliable, scalable web systems on AWS with clean code, strong testing, and performance focus—while integrating AI features responsibly and partnering closely with engineers through code reviews.

I’m a Senior Full Stack Engineer with 9+ years building scalable web applications, with a strong focus on Python backend development. I design APIs, data pipelines, and cloud-based systems using modern frameworks and AWS services.

In my current role, I designed and built a scalable FastAPI backend handling 2,500+ daily API requests across 3 core services. I implemented asynchronous processing with Celery and Redis, reducing average processing time by 35% for background jobs, and I integrated lightweight AI features using OpenAI APIs for data categorization and summarization.

Previously, I built a multi-tenant Django platform supporting 6+ client environments with role-based access control, and I developed backend services in C# (.NET Core). I’ve also optimized MySQL schemas to improve query response time by 30%, containerized deployments with Docker, and strengthened reliability with unit/integration testing, monitoring, and mentoring junior developers through code reviews.

Experience

Work history, roles, and key accomplishments

Current

Senior Full Stack Engineer

Current

Amazon Web Services (AWS)

Apr 2024 - Present (1 year 11 months)

Designed and built a scalable FastAPI backend service handling 2,500+ daily API requests across 3 core services. Implemented async processing with Celery and Redis, reducing background-job processing time by 35%, and deployed services to AWS with CI/CD using GitHub Actions.

fastAPI Celery Redis React PostgreSQL Pytest

Full Stack Engineer

Amazon Web Services (AWS)

Aug 2018 - Apr 2024 (5 years 8 months)

Developed a multi-tenant Django platform supporting 6+ client environments with role-based access control. Optimized MySQL query performance by 30%, built event-driven AWS solutions (Lambda, API Gateway, DynamoDB), and implemented secure authentication with OAuth 2.0 and JWT.

Django MySQL RabbitMQ Angular OAuth 2.0 JWT RBAC Cloudwatch Docker

Software Development Engineer Intern

Amazon Web Services (AWS)

Jun 2017 - Sep 2017 (3 months)

Built backend features in Flask for 2 internal tools with basic CRUD functionality and developed NumPy-based scripts to clean 5K records across 3 datasets. Tested API endpoints with Postman and wrote unit tests using unittest.

Flask Python NumPy SQLite API Testing Unit Testing CRUD APIs