MD Rakibul i.

AI SaaS + AI Agents + LLM Apps + RAG + LangChain + LangGraph + Agentic AI + AI Automation + MCP + Python + FastAPI + Node.js + TypeScript + Next.js + React + PostgreSQL + Redis + Docker + AWS From intelligent systems to production-ready products. I help founders and businesses architect, build, and scale AI-powered products combining full-stack engineering with advanced AI capabilities such as LLM applications, RAG pipelines, AI agents, tool calling, workflow orchestration, vector search, semantic retrieval, AI automation, and third-party integrations. From idea → architecture → AI engineering → SaaS development → deployment, I handle the complete product lifecycle with a focus on scalability, reliability , security, and real-world business value. One technical partner. Advanced AI engineering. Production-ready execution. WHAT I BUILD • AI-powered SaaS applications • SaaS MVPs for startups • AI agents and workflow automation • Multi-tenant SaaS platforms • Customer and admin dashboards • CRM and internal business tools • AI document processing • AI content and productivity tools • Custom web applications • Improvements and new features for existing products AI & AUTOMATION I use AI where it actually adds value to your product. • OpenAI / GPT, Claude, and DeepSeek • AI Agents • RAG systems • LangChain and LangGraph • Vector search with Pinecone or Qdrant • AI document processing • AI assistants and chat applications • Multi-step AI workflows • n8n and Make automation • Custom API integrations SAAS FEATURES I can build the core systems behind your product: • Multi-tenant architecture • Authentication and authorization • Organization workspaces • Role-based access control (RBAC) • User and admin dashboards • Stripe and Lemon Squeezy integration • Subscription and credit-based billing • Usage tracking • Database architecture • REST APIs and backend services HOW I WORK I don't start by blindly writing code. First, I understand what you're building, who will use it, and what features actually matter for the MVP. Discovery = Define product goals, core features, user flows, and priorities. Architecture = Plan the frontend, backend, database, APIs, authentication, AI workflows, integrations, and deployment. Development = Build through clear milestones with regular updates and GitHub commits. Testing & Launch = Test core workflows, fix issues, improve performance, and deploy to production. Post-Launch = Continue with new features, AI improvements, automation, maintenance, and scaling. WHY ClWORK WITH ME Full-Stack Expertise Frontend, backend, databases, APIs, and AI all handled under one roof. Product-Focused I prioritize the features that matter most to your users and business. Practical AI I use AI where it creates real value not just because it’s trendy. Clear Communication You’ll always know what’s being built, what’s done, and what comes next. PROJECT EXPERIENCE AI Document Intelligence Platform : Built a production-ready AI document analysis platform that transforms large, unstructured documents into searchable, conversational knowledge using RAG, vector search, semantic retrieval, and LLM-powered responses**. Designed the system to handle complex document workflows while maintaining relevant context and grounded answers. Integrated Stripe credit-based billing to support usage-based monetization and a scalable SaaS business model. Key Highlights: • RAG-powered document understanding and question answering • Vector database and semantic similarity search • Context-aware LLM responses with document grounding • Secure document upload, processing, and retrieval pipeline • Stripe-based credit system and usage-based billing • Architecture designed for scalable AI SaaS workloads Multi-Tenant SaaS Platform : Engineered a multi-tenant SaaS architecture that enables multiple organizations to securely operate within isolated workspaces while sharing the same application infrastructure. Implemented authentication, authorization, role-based access control, organization/workspace management, subscription billing, and data isolation to create a secure foundation for a scalable B2B SaaS product. Key Highligh • Organization and workspace-based multi-tenancy • Secure authentication and authorization • Role-based access control (RBAC) • Tenant-level data isolation and access policies • Subscription and billing infrastructure TECHNOLOGY Frontend: Next.js, React, TypeScript, Tailwind CSS Backend: Node.js, Express.js, NestJS, Python, FastAPI, Django ,REST APIs, GraphQL, Websocket Database: PostgreSQL, MongoDB, Supabase, Prisma, Drizzle AI: OpenAI, Claude, DeepSeek, LangChain, LangGraph, RAG, Pinecone, Qdrant, AI Agents Automation: n8n, Make, APIs, Webhooks Deployment: Vercel, AWS, Docker, Railway, GitHub Actions, CI/CD, VPS LET’S BUILD YOUR PRODUCT Send me a INVITE. Let’s discuss your project and get started. I am ready to discuss your project in zoom/meet meeting.