Frontend
Responsive, accessible interfaces in React & TypeScript — component systems, state management, and the polished UX that makes products feel effortless.
I'm Roosevelt Purification — a Lead Full Stack Engineer who ships across the whole stack: crisp React frontends, robust APIs in Python & Go, and the cloud infrastructure & CI/CD that keeps them running. I lead teams to turn product ideas into reliable, scalable software.
I'm a Lead Full Stack Engineer based in Maryland, USA. I design and build complete products — from the React/TypeScript interface users touch, through the APIs and services that power it, down to the databases, cloud infrastructure, and CI/CD that keep everything reliable at scale.
I lead engineering teams, set technical direction, and stay hands-on across the codebase. My toolkit spans React, Node, Python, Go, AWS, Docker, and SQL/NoSQL data stores. I care about clean architecture, fast iteration, and software that's a pleasure to maintain.
I'm comfortable owning a feature from the first pixel to the production deploy — and leading a team to do the same.
Responsive, accessible interfaces in React & TypeScript — component systems, state management, and the polished UX that makes products feel effortless.
Well-designed services and REST/GraphQL APIs in Node, Python, and Go — auth, validation, and clean contracts built for performance and maintainability.
Schema design and data modeling across PostgreSQL, Redis, and DynamoDB — efficient queries, sensible indexing, and pragmatic SQL/NoSQL trade-offs.
AWS infrastructure, containerization with Docker, and CI/CD pipelines that ship safely — automated tests, builds, and deploys on every push.
Architecting scalable, fault-tolerant systems — service boundaries, caching strategies, and the right abstractions to keep complexity in check.
Leading teams, mentoring engineers, and setting technical direction — code reviews, architecture decisions, and shipping product as a unit.
A sample of full stack projects from my GitHub — frontends, APIs, services, and the glue in between.
A React platform that visualizes NASA Earth-science data — global precipitation (GPM) and temperature anomalies, rendered as interactive charts over a data API.
A full stack collection of AI/ML samples — a React frontend talking to Python services, demonstrating modern patterns for wiring models into a real UI.
A FastAPI service that turns GeoJSON FeatureCollections into PNG charts — a clean, focused backend API with a well-defined contract.
A clean, well-structured URL-shortener microservice in Go — a tidy reference for backend API design, routing, and service architecture.
A Python AI/ML app using OpenAI Gymnasium and Q-Learning to train an agent to navigate a maze — applied reinforcement learning, end to end.
A Go service that generates thousands of PNG logos from a list of company names in seconds — concurrency and image processing at scale.