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$
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I will develop ai agent, rag, and mcp server for business and saas
Ridoy
Level 2
About this gig
Hi! I'm Ridoy, a Full-Stack AI & Web Developer specializing in AI Agents, RAG systems, and MCP servers for modern SaaS and business automation. I build high-performance AI backends using Python, TypeScript, Qdrant, PostgreSQL/PGVector, PyTorch, and JSON-RPC 2.0 combined with powerful AI models and optimized retrieval pipelines tailored to your data.
Whether you're building a new SaaS platform, enhancing an existing product, or automating internal operations, I help you integrate AI the right way: fast, scalable, secure, and production-ready.
What I Deliver:
- Custom AI agents with tool-calling and workflow automation
- RAG pipelines with optimized chunking, embedding, and ranking
- Vector DB setup: Qdrant or PGVector
- MCP server tools (DB access, API integrations, scraping, automation)
- FastAPI / Next.js backend & service development
- Secure authentication (JWT, API keys)
- Data ingestion from PDFs, websites, structured/unstructured docs
- Deployment on VPS or AWS
- Clean, documented, maintainable code
If you need an AI system that is accurate, reliable, and built for long-term scalability, you're in the right place. Let's build your AI-powered business or SaaS product.
Get to know Ridoy
Ridoy
Full Stack Developer
Level 2
- FromBangladesh
- Member sinceApr 2021
- Avg. response time1 hour
- Last delivery3 months
Languages
English
Hi, I’m Ridoy — a Full Stack Software Developer specializing in SaaS and web applications.
I build secure, scalable microservices using Python, Django, FastAPI, Node.js, React, and Next.js.
I deploy on AWS/GCP with Docker, Kubernetes, and CI/CD pipelines, delivering production-ready systems.
Databases: PostgreSQL, MySQL, MongoDB, with real-time WebSockets, Celery, and Redis.
AI expertise includes RAG systems, MCP pipelines, custom model APIs, and vector databases.
Ops stack: Docker, Nginx, SSL, mail servers, AWS stacks, GCP, and Linux.
Let’s build something robust and scalable.
My Portfolio
FAQ
What is an MCP server?
MCP (Model Context Protocol) servers manage multiple AI models and coordinate their responses efficiently.
Which AI models can you integrate?
I can integrate GPT, LLaMA, Falcon, and custom models for chat, search, or automation.
Do you provide deployment?
Yes! I can deploy apps on AWS, Docker, or other cloud platforms with CI/CD setup.
Can you build real-time AI apps?
Absolutely! I use WebSockets, Celery, and Redis for real-time AI interactions.
Do you provide post-delivery support?
Yes, I offer minor bug fixes and guidance after delivery depending on the package.
Which databases do you use?
PostgreSQL, MongoDB, and Qdrant for vector search and AI data management.
Can you build a full-stack SaaS platform?
Yes! I can create scalable AI SaaS apps with Next.js frontend and Python/FastAPI backend.
