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MZ

Availability: Available for hire

Name: Muhammad Zeeshan

Role: Frontend Developer

Current Location: Saudi Arabia

About Me: Frontend Developer leading scalable, high-performance web applications with clean architecture strong product ownership and measurable impact at scale.

Tech stack: Next.js Remix Playwright TypeScript

View ProjectsGet in Touch

About Me

I'm a frontend developer who cares deeply about the details, from pixel-perfect UIs to milliseconds load times. I specialize in React ecosystem technologies and have a strong focus on building accessible, performant web applications optimized for Core Web Vitals with rigorous testing practices.

View My Storybook (opens in new tab) Explore engineering deep dives, W3C-compliant components, advanced UI patterns, custom hooks, utils and creative experiments.

Skills & Tools

Frameworks & Libraries
TypeScript-first for scalable, maintainable apps.
ReactNext.jsRemixReact RouterRedux ToolkitZustandReact Hook FormZod
UI & Styling
Shadcn UI + Base UI for fast, consistent interfaces.
Tailwind CSSShadcn UIRadix UIBase UIFramer Motion
Testing & Quality
Develop and test in isolation for reliability.
PlaywrightStorybookChromatic
Tools & DevOps
Streamline development and deployment workflows.
GitVercelpnpm

Experience

Job Role: Fullstack React Developer

Company: GreenpoxEmployment Type: Full-timeLocation: on-site

Highlights:
  • Built a full-featured e-commerce platform using Next.js, including a custom admin dashboard
  • Developed type-safe backend services with Drizzle ORM and Kysely, ensuring strict end-to-end type safety
  • Designed scalable frontend architecture with structured data flows and business logic separation

Job Role: Full-Stack Developer

Company: Khaleej TrainingEmployment Type: Full-timeLocation: on-site

Highlights:
  • Built full-stack features using Next.js, Drizzle ORM, PostgreSQL
  • Developed APIs, authentication, and database operations
  • Delivered end-to-end features with clean, maintainable code

Job Role: Frontend / Next.js Developer

Company: HBR Web SolutionsEmployment Type: Full-timeLocation: on-site

Highlights:
  • Built React and Next.js applications using SSR, SSG, and API routes
  • Optimized performance, SEO, and Core Web Vitals
  • Developed reusable UI components and scalable frontend architecture

Job Role: Front-End Developer (Intern / Junior)

Company: Iqrazain SoftsEmployment Type: Full-timeLocation: on-site

Highlights:
  • Built responsive web pages using HTML, CSS, JavaScript
  • Collaborated with designers and developers on production websites

Projects

Project Name: E-commerce Storefront

Project Description:

Customer accessible storefront with product browsing, detailed product pages with variants, shopping cart functionality, checkout with address management, order history tracking, product reviews & ratings, FAQs, and account management. Supports address book for quick checkout, voucher/discount codes and inventory aware cart updates.

Technologies Used: Next.jsTypeScriptDrizzle ORMShadcn UI

Live Demofor E-commerce Storefront (opens in new tab)

Project Name: E-commerce Dashboard

Project Description:

Comprehensive admin panel for managing store operations including products (create, edit, delete with variants), inventory tracking with SKU management, categories, brands, product options & choices, orders & order items, customer reviews moderation, banners, email templates, shipping settings, asset/image management, menu items, and store configurations with email notifications for low stock, new reviews, and order status updates.

This account is provided for demonstration purposes only.
Email: demo@meeshan.dev
OTP: 000000

Technologies Used: Next.jsTypeScriptDrizzle ORMShadcn UI

Live Demofor E-commerce Dashboard (opens in new tab)

Project Name: Arkive - AI Prompt Manager

Project Description:

A full-stack SaaS application for saving, organizing, tagging, and AI-enhancing prompts into a reusable, high-quality personal library, with built-in prompt update history.

Technologies Used: RemixTypeScriptGeminiShadcn UI

Live Demofor Arkive - AI Prompt Manager (opens in new tab)

Project Name: Label AI - Text Classification

Project Description:

A full-stack SaaS application that enables users to build, train, and deploy custom text classification models through an intuitive web interface, no ML expertise required. Users create models, supply labeled text samples, and the platform trains a Naive Bayes classifier (via Natural.js) and serves real-time predictions.

Technologies Used: RemixTypeScriptNaive BayesShadcn UI

Live Demofor Label AI - Text Classification (opens in new tab)

Get in Touch

Interested in working together? Feel free to reach out, I'm always open to discussing new projects, opportunities, and ideas.

GitHub (opens in new tab)LinkedIn (opens in new tab)