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$
USD
I will make an ai saas with nextjs, react and openai
Kaif Sadiq
About this gig
Welcome to the future of enterprise software. If you are looking to build a scalable, high-performance AI SaaS application, you need an engineer who understands both advanced web architecture and complex machine learning integrations.
I am a Google-Certified AI/ML Engineer and Premium Full-Stack Developer. I do not just write code; I architect intelligent systems that solve real business problems.
My Core Capabilities: End-to-End AI SaaS products powered by LLMs (OpenAI, Llama-3, Groq). Advanced Retrieval-Augmented Generation (RAG) systems utilizing vector databases (pgvector) to chat with private data. Highly responsive, type-safe UIs built with React 19, Next.js 14, and Tailwind. Secure payment infrastructure using Stripe Webhooks and tRPC.
With proven experience engineering predictive AI operating systems like Neurlo, I ensure your application is robust, secure, and ready to scale. My rigorous Software Quality Assurance (SQA) practices guarantee a flawless deployment.
Please message me before ordering to map out your architecture!
Get to know Kaif Sadiq
Kaif Sadiq
Premium Full Stack Architect and AI ML Engineer
- FromPakistan
- Member sinceOct 2025
- Avg. response time2 hours
Languages
English, Urdu, Hindi, Punjabi
I engineer high-performance web systems by fusing advanced software architecture with Artificial Intelligence. As a Google-certified Full-Stack Developer & AI Engineer, I specialize in Next.js, React, TypeScript, and LLM integrations. I architect enterprise-grade SaaS platforms with strict RBAC, Supabase, and custom AI agents. From robust RAG pipelines to scalable multi-plane web infrastructures, I deliver highly secure, type-safe solutions. Let's solve your complex business problems today.
My Portfolio
FAQ
What technology stack do you use for AI SaaS?
I use a modern, type-safe stack: Next.js 14 (App Router), React 19, TypeScript, tRPC, Tailwind CSS, and databases like PostgreSQL (Supabase/Prisma) with pgvector for AI memory.
Can you integrate my private company data into the AI?
Yes. I build Retrieval-Augmented Generation (RAG) pipelines that securely vectorize your documents so the AI can answer questions based strictly on your proprietary data.
How do you ensure the security of my application?
I apply a "Security-First" engineering mindset. This includes strict Role-Based Access Control (RBAC), JWT authentication, secure Edge Functions, and parameterized queries to prevent data breaches.
What you need to get started ?
I need proper requirements to start. I suggest doing a meeting before starting the work for a better understanding of the project requirements.
