Ashton Lee
@ashtonlee
Senior full-stack engineer building scalable AI-driven platforms end-to-end.
United StatesWhat I'm looking for
I’m a Senior Full Stack Developer with 8+ years of experience architecting and deploying scalable, AI-driven platforms. I’ve owned features end-to-end—from ideation to production—delivering high-impact solutions at Meta, McKinsey & Company, and Home Depot.
At McKinsey & Company, I led the “AI Insights” platform, integrating caching and optimizing backend performance, while collaborating with data scientists to deploy AI models as microservices. My approach emphasizes clean system architecture, performance optimization, CI/CD automation, and mentoring—raising test coverage from 60% to 90% and improving responsiveness through real-time UI and monitoring.
Experience
Work history, roles, and key accomplishments
Led development of the AI Insights platform for client data analysis using Python with Quart and React. Reduced API response times by 35% via Redis caching, cut deployment time by 50% with Docker/Terraform CI/CD, and improved PostgreSQL query performance by 40%.
Owned end-to-end feature development for the Ads Manager platform impacting 2M+ advertisers. Built React/TypeScript micro-frontends with GraphQL, reduced ad rendering latency by 25% using Redis caching, and improved page load time by 20% through code splitting and asset optimization.
Developed and maintained the inventory management system using React and Node.js, powering real-time stock updates across 2000+ stores. Built Flask REST APIs with Redis caching, migrated legacy jQuery to modular React components, and achieved 85% test coverage using Jest and pytest.
Education
Degrees, certifications, and relevant coursework
University of South Florida
Bachelor’s degree, Computer Science
2013 - 2018
Earned a bachelor’s degree in Computer Science at the University of South Florida from 2013 to 2018.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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