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English
$
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I will develop ai powered saas products with openai langchain rag and vector databases
Anjan Das
About this gig
Looking to Turn AI Into a Real Product Instead of Just Another Demo?
Every day, new AI tools launch. Most never gain traction because they're built around technology rather than real business problems.
The companies winning with AI aren't using more tools.
They're building smarter products.
That's where we can help.
We develop AI-powered SaaS applications that combine OpenAI, LangChain, RAG, & vector databases to create intelligent products users actually find valuable.
Whether you're building an AI startup, internal business assistant, knowledge platform, customer support solution, workflow automation tool, we focus on creating systems that are accurate, scalable, & built for real-world use.
What we build:
- AI SaaS Platforms
- AI Chatbots & Assistants
- RAG
- Knowledge Base Search
- Document Intelligence Solutions
- AI Workflow Automation
- Custom LLM Applications
- AI-Powered Business Tools
Our team has delivered enterprise software, fintech platforms, ERP systems, & AI solutions designed to serve growing businesses & large-scale operations.
Share your idea or business goals, and let's explore how AI can create a competitive advantage for your product.
Get to know Anjan Das
Anjan Das
Senior Backend Engineer : MVP Development and AI Integration Expert
- FromBangladesh
- Member sinceMar 2016
- Avg. response time1 hour
Languages
English
Senior Backend Engineer with 9+ years building production-grade systems. I specialize in MVP development and AI integrations — helping startups and businesses go from idea to launched product fast.
Stack: NestJS, Node.js, Laravel, PostgreSQL, Redis, AWS, Docker. AI: OpenAI, Claude, Gemini APIs, RAG systems, LLM workflows.
Delivered real products: eCommerce (Pickaboo), ERP (BRAC University), fintech payment systems (Stripe, Adyen).
I build clean, scalable backends — not just code. Let's ship your MVP.
My Portfolio
FAQ
1. What AI models do you support?
We work with OpenAI, Gemini, Claude, Llama, and other modern Large Language Models (LLMs).
2. Do you build RAG systems?
Yes. Retrieval Augmented Generation (RAG) systems are one of our core specialties.
3. Which vector databases do you support?
Pinecone, Weaviate, Qdrant, ChromaDB, and other modern vector databases.
4. Can you build custom AI chatbots?
Yes. We build customer support bots, internal assistants, sales assistants, and industry-specific AI solutions.
5. Can AI access my documents and company knowledge base?
Yes. We can connect PDFs, websites, databases, Notion, Google Drive, and internal documentation.
6. Do you build multi-user AI SaaS platforms?
Absolutely. We can develop complete SaaS products with authentication, subscriptions, and user management.
7. Can you integrate OpenAI into an existing application?
Yes. We can integrate AI features into your current SaaS product or software platform.
8. Do you provide deployment support?
Yes. We support AWS, GCP, DigitalOcean, Azure, and other cloud environments.
9. Do you sign NDAs?
Yes. We are happy to sign NDAs and maintain strict confidentiality.
10. How do we get started?
Send your business goals, use case, and project requirements, and we'll recommend the best AI architecture and development approach.
