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My personal developer portfolio built with Nextjs, super fast, SEO optimized and features a built in AI assistant that answers questions about my skills, projects, & services in real time.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Thank you so much for Margadarsi Infra for this opportunity🎉
Intelliflow build entire Digital platform for Margadarsi Infra #realestate business.
Where Intelliflow Built the
Public website
Lead Management system
Dedicated Channel partner portal
#websitedesign #websitedevelopment #webapplication #softwaredevelopment
#CRMdevelopment
Its a wow design!
💧 AQUAÉRA India — Premium Water Purification, Reimagined
Designed & developed a modern UI/UX-focused website for AQUAÉRA India, a premium water purification brand serving residential, corporate, and hospitality sectors.
The goal was to create a digital experience that feels clean, premium, and trustworthy while making product discovery and lead generation simple.
✨ Key Highlights
• Clean, premium light-theme design
• Mobile-first responsive experience
• Dedicated solutions for Home, Office & Hotel
• Smart product selection & lead capture
• One-tap WhatsApp & calling
• Consistent typography and visual design system
• Fast-loading, zero-bloat architecture
🛠️ Technology & Build
Frontend: HTML5 · Semantic HTML · Modern CSS3 · CSS Grid · Flexbox
Interactions: Vanilla JavaScript (ES6+) · Dynamic Form Logic · Smooth UI Interactions
Design System: Plus Jakarta Sans · Inter · CSS Custom Properties · Responsive Design
Performance: Zero-Bloat Architecture · Optimized Assets · Mobile-First Performance
Deployment: Vercel Edge Network · Zero-Config Static Architecture
🔗 Live Demo: https://aqua-ra.vercel.app/
💻 GitHub: https://github.com/HimanshuGehlot18/AQUA-RA-
The result: a fast, polished, conversion-focused experience built around simplicity, performance, and trust.
Clean design. Fast experience. Better conversions. 💧
The smart product selector is the part I'd test first. I'd show why it recommends a model for a home, office, or hotel, so the buyer reaches the lead form knowing what they are asking about.
just shipped the core of Skillship — an AI-powered LMS built for schools.
One platform, many schools, and one rule that shaped every decision: School A must never see School B's data. Tenant-scoped models, filtered querysets at the base class, UUIDs everywhere.
Four AI features live:
— Career Pilot: personalised career paths for students
— Question generator: chapter PDF in, board-aligned MCQs out
— Adaptive quizzes: difficulty follows actual performance
— Semantic search: teachers ask in plain English, pgvector finds the material
Django + DRF for the LMS core, a separate FastAPI service for all AI work (Gemini + a pgvector RAG pipeline), Next.js 14 on the front. Django brokers every AI call — the AI layer never touches the browser.
The hard part wasn't the AI. It was making multi-tenancy boring enough that no future dev can leak a school's data by accident.
Open for new work — full-stack builds, AI integrations, RAG pipelines, multi-tenant SaaS. Send me a project.
The tenant boundary is where I'd put the first failure test. I'd try to make a user from one school retrieve another school's record before I trusted any of the AI features.