Hi, I’m Benjamin Brown, a Senior Full Stack Developer with 8+ years of experience building scalable web applications using Next.js and Django. I enjoy bridging elegant, high-performing frontends with robust Python-based backends.
I’ve architected multi-tenant SaaS platforms, designed RESTful and GraphQL APIs, and led engineering teams from concept to production. I’m passionate about developer experience, clean architecture, and shipping products users love.
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- Architected Python/Django backend with async task processing
- Integrated OpenAI GPT-4 & Anthropic Claude APIs with fallback logic
- Built custom prompt engineering pipeline for domain-specific AI
- Developed React dashboard with real-time streaming responses
- Implemented vector database for RAG (Retrieval Augmented Generation)
- Deployed on Azure with Kubernetes orchestration & auto-scaling
Designed and built an enterprise AI platform integrating multiple LLM providers, enabling businesses to deploy custom AI agents and automate complex workflows.
Technical Implementation:
Tech Stack: Python, Django, React, TypeScript, OpenAI API, Claude AI, PostgreSQL, Azure, Docker, Machine Learning
Impact: 70% reduction in manual tasks, 847K+ API calls/day, 500+ enterprise clients onboarded.
- Built RESTful API architecture with Node.js & Express.js
- Developed React component library with reusable UI patterns
- Integrated Stripe payment gateway with webhook handling
- Implemented MongoDB database with optimized indexing
- Set up Firebase authentication & real-time inventory sync
- Deployed serverless functions on Vercel for edge performance
Architected and developed a high-performance e-commerce platform from scratch, implementing scalable backend services and pixel-perfect frontend experiences.
Technical Implementation:
Tech Stack: React.js, Node.js, Express.js, MongoDB, Firebase, Stripe API, Vercel, REST API, Tailwind CSS
Impact: 35% conversion increase, sub-2s page loads, processing $150K+ monthly transactions securely.
- Architected microservices backend with Node.js & GraphQL API
- Built interactive dashboards using React & TypeScript
- Designed PostgreSQL database schema optimized for analytics queries
- Implemented real-time WebSocket connections for live data updates
- Deployed CI/CD pipeline on AWS with Docker containerization
Led end-to-end development of an enterprise-grade analytics platform, architecting scalable solutions for real-time business intelligence and data visualization.
Technical Implementation:
Tech Stack: Next.js, TypeScript, React, Node.js, Express.js, PostgreSQL, AWS, GraphQL, Docker, Tailwind CSS
Impact: Reduced data processing time by 60%, achieved 99.9% uptime, handling 1M+ daily API requests.
NeuroNation is a German cognitive training website and app available on Android and iOS, was offered in eight languages. We joined a distributed team to refactor the client’s microservice app. We eliminated code duplication, removed legacy code, and created shared packages. We also upgraded PayPal integration and added family-shared iTunes subscriptions.
I developed and integrated AI-driven features into a web application to enhance user experience and streamline QA workflows. The AI component handled automated testing scenarios, detected UI/logic issues, and suggested improvements in real-time. On the backend, I used PHP and Laravel to manage business logic, APIs, and data processing. On the frontend, I built responsive and interactive interfaces using React and TypeScript, ensuring smooth performance and usability across devices
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