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O Z E Y D I
Senior Full-Stack Engineer with 7+ years of experience building and scaling production-grade web applications.
Specialized in:
- ⚡ High-performance frontend systems (React / Next.js)
- 🏗️ Scalable backend architectures (Node.js)
- 🔄 Legacy system modernization
- 📡 Real-time and API-driven systems
I operate across the full stack — from architecture design → production delivery — with a strong focus on performance, maintainability, and system reliability.
- Migrated legacy monoliths → modular React architectures
- Implemented scalable feature-based structure
- Built reusable component systems (design consistency at scale)
- SSR / SSG / ISR strategies with Next.js
- Optimized Core Web Vitals (LCP, TTFB)
- Reduced frontend bottlenecks in large applications
- Designed WebSocket-based architectures
- Optimized Node.js concurrency handling
- Delivered low-latency real-time UI updates
- Incremental migration (strangler pattern)
- Reduced rewrite risk in production systems
- Maintained business continuity during transitions
- Designed REST APIs and real-time services
- Built scalable Node.js backend layers
- Improved response efficiency and system throughput
- 🚧 Active full-stack projects on GitHub (React / Next.js / Node.js)
- ⚡ Performance optimization (rendering strategies, caching)
- 🧱 Reusable architecture patterns & system design templates
- 🧪 Strengthening test coverage (unit + integration)
- 📦 CI/CD and Docker-based workflows
👉 Check pinned repositories for live work.
- ↓ 40–60% frontend load time (SSR/SSG optimization)
- ↓ ~35% backend/API latency
- ↑ Core Web Vitals performance
- ↓ ~30% production bugs
- ↑ faster feature delivery
- ↑ improved developer onboarding
- ↑ system stability under load
- ↓ deployment/environment issues (Docker)
- ↑ CI/CD consistency
- Mentored developers (React & architecture best practices)
- Led code reviews & engineering standards
- Improved cross-team collaboration
- React, Next.js (SSR / SSG / ISR)
- TypeScript / JavaScript
- Redux, MobX
- Tailwind CSS, Styled Components
- Node.js, Express, NestJS
- REST APIs, WebSocket
- JWT, authentication systems
- Microservices architecture
- PostgreSQL
- MongoDB
- Docker, Kubernetes
- AWS, Vercel
- CI/CD (GitLab pipelines)
- Jest, Mocha, Supertest
- Unit & integration testing
Senior Full-Stack Engineer (React / Node.js)
- Modernized legacy applications into React SPA
- Introduced Next.js SSR/SSG for performance & SEO
- Designed scalable frontend architecture
- Built and optimized Node.js APIs
- Implemented real-time features (WebSocket)
- Mentored developers & enforced best practices
- Collaborated with product, QA, and UX teams
Frontend Engineer
- Developed enterprise internal applications
- Improved performance and stability
- Refactored legacy frontend code
- Participated in Agile workflows & code reviews
Full-Stack Engineer
- Built and refactored CMS platform
- Developed React frontend + Node.js APIs
- Managed Docker environments and deployments
- Improved system performance and maintainability
Full-Stack Engineer
- Built delivery platform (React + Node.js)
- Designed public REST APIs
- Implemented unit & integration testing
- Wrote technical documentation
- Enabled third-party integrations
React Developer
- Developed dynamic frontend application
- Built pricing logic and analytics UI
- Improved UX/UI through collaboration
- 🏗️ Systems over features
- ⚡ Performance is a feature
- 🧠 Simplicity scales better than complexity
- 📦 Modular architecture wins long-term
- 🤝 Collaboration amplifies impact
AI-powered wardrobe assistant for managing clothing and generating outfit suggestions
🔗 Live Demo: https://react-node-ward-robe-ai.vercel.app/
📦 Repository: https://github.com/ozeydi/React-Node-wardRobeAi
- Full-stack application for digital wardrobe management
- Enables users to organize clothing items and generate outfit combinations
- Designed to simplify daily outfit decision-making
- Built end-to-end architecture (React + Node.js + Express)
- Designed modular and scalable frontend structure
- Implemented REST APIs for wardrobe and outfit management
- Integrated AI-based recommendation logic
- Structured application for maintainability and scalability
- 🚀 End-to-end full-stack system (frontend → backend → AI integration)
- 🧠 Automated outfit recommendations using AI logic
- ⚡ Responsive UI with optimized API interactions
- 📦 Production-ready deployment with live access
React, Node.js, Express, MongoDB, AI APIs, Vercel
Full-stack chatbot interface with scalable backend and dynamic messaging flow
🔗 Live Demo: [Add if available]
📦 Repository: https://github.com/ozeydi/ChatBot-MVP-react-node
- Full-stack chatbot application for user interaction and message exchange
- Designed as a foundation for conversational systems (MVP architecture)
- Supports dynamic UI updates and message handling
- Built full-stack architecture (React + Node.js + Express)
- Designed REST API for message handling and conversation flow
- Implemented client-side state management for chat interactions
- Structured backend for scalability and future real-time extension
- Developed responsive and interactive chat UI
- 💬 Functional conversational system with Pdynamic UI updates
- 🧠 Clean foundation for extending into real-time architecture
- 🚀 Demonstrates scalable full-stack design patterns
- 📦 Production-ready structure for rapid iteration
React, Node.js, Express, MongoDB
AI-powered GitHub Action that auto-generates pull request descriptions from your diff.
- Supports OpenAI, Anthropic, Google Gemini, and Mistral
- Configurable update modes: replace, append, prepend, or comment
- Generates PR titles, filters noisy files, skips existing descriptions
- 27 tests · MIT license
The badge only resolves correctly once the action is published to the Marketplace. Until then you can use a plain repo badge:
Curated software development skills for AI-powered coding tools (Cursor, Copilot, Claude)
📦 Repository: https://github.com/ozeydi/senior-architect-skills
- Collection of production-ready skill templates for AI coding tools
- Covers clean architecture, performance optimization, and senior developer standards
- Designed for Cursor, Copilot, Claude, ChatGPT, and any AI-powered dev tool
- Modular skill system with SKILL.md frontmatter format
- Cross-tool compatibility (5+ AI coding tools supported)
- CI/CD validation pipeline (GitHub Actions)
- npm-publishable package structure
- ✅ 3 major skills with 150+ real-world code patterns
- ✅ ~5,000 lines of professional-grade standards
- ✅ Cross-tool integration (Cursor, Copilot, Claude, ChatGPT, Cline)
- ✅ CI/CD validation on every push/PR
TypeScript, Node.js, GitHub Actions, npm
“Great systems are not built by adding features — they are built by removing complexity.”
