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M. Shahmeer
@shahmeer_rizwan
Building Scalable SaaS Platforms and Web Apps with React and Next js
Pakistan
Englisch
Über mich
I build web applications that scale.
My LMS serves 400K+ students with 25K+ daily users. My sports platform handles 6000+ live games. That's not marketing — it's running in production right now.
What I Build:
→ SaaS Platforms & Dashboards
→ CRM, ERP & Admin Panels
→ AI-Powered Applications (OpenAI, ChatGPT)
→ E-Commerce & Payment Systems (Stripe)
→ Learning Management Systems
Tech Stack:
React, Next.js, TypeScript, Node.js, MongoDB, PostgreSQL, Tailwind CSS, AWS
I ship clean code, on time. I communicate clearly. I don't disappear mid-project.
Let's build something that works.
Kompetenzen
M. Shahmeer
offline •
Meine Dienstleistungen
Fehlerbehebung
I will fix react nextjs nodejs bugs and javascript errors fast
Full-Stack-Webanwendungen
I will be your mern stack developer for nextjs react nodejs full stack web app
Portfolio
Arbeitserfahrung
Software Engineer
Saylani Welfare International Trust • Vollzeit
Jan 2025 - Present • 1 yr 4 mos
I lead full-stack development for mission-critical web platforms serving hundreds of thousands of users daily. Key Projects & Impact: → Saylani LMS (Learning Management System) Architected a production LMS serving 400K+ students and 25K+ active users. Engineered backend to handle 20K+ concurrent daily users with zero downtime. Built 65+ course modules with Zoom integration, attendance tracking, quiz systems, and payment workflows. Stack: React, Next.js, Redux, Node.js, Express.js, MongoDB, AWS → SMIT Website (saylanimit.com) Developed the complete website for Pakistan's largest IT training ecosystem. Built a high-traffic admissions system, 66+ course pages, 40+ campus discovery, student ID card downloads, and result checking features. Stack: Next.js, React, Tailwind CSS, Node.js, MongoDB → Snapfreez (AI Photo-Sharing Platform) Built an AI-powered facial recognition system processing 100K+ photos at live events. Developed a real-time camera-to-cloud pipeline delivering personalized galleries via WhatsApp in under 30 seconds. Achieved 4.9/5 user satisfaction across 10+ enterprise events. Stack: Next.js, Python, FastAPI, AWS, Face Recognition AI → Darul Ifta Saylani (Islamic Guidance Platform) Created a multilingual content platform with 1K+ published fatwas. Implemented complex RTL support for Urdu/Arabic with custom Nastaleeq typography. Stack: Next.js, React, Node.js, MongoDB Technologies: React, Next.js, TypeScript, Node.js, Express.js, MongoDB, PostgreSQL, AWS, Python, FastAPI, Redux, Tailwind CSS
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maengman
Wiederkehrender Kunde
Vereinigte Staaten
Muhammad did an excellent job resolving the bugs in my Node.js and Next.js app with precision and efficiency. I am highly impressed with his work and would love to work with him again.
Hilfreich?
maengman
Wiederkehrender Kunde
Vereinigte Staaten
Muhammad did an amazing job building a fully functional and responsive MERN Stack web app. His professionalism, expertise, and timely delivery were truly impressive. I would love to work with him again in the future. Highly recommended!
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