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I will build a custom ai chatbot using langchain, fastapi, and qdrant
Mohammed Ahmed
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Are you looking to integrate a smart, context-aware AI chatbot into your product that actually understands your proprietary data without hallucinating?
You are in the right place! I am a full-stack and AI engineer specializing in building production-ready Retrieval-Augmented Generation (RAG) pipelines and custom AI solutions.
What I Can Build For You:
- Custom Document Chatbots (Train an LLM on your PDFs, Notion pages, CSVs, or websites)
- Secure REST APIs built with FastAPI and Python
- Vector Database Integration using Qdrant or Pinecone for lightning-fast semantic search
- Full conversational memory (powered by Redis or built-in state management)
- Frontend integration (Next.js or simple clean chat UI widgets)
Tech Stack I Use:
- Core: Python, FastAPI, UV
- AI & Orchestration: LangChain, LangGraph, OpenAI, Anthropic, HuggingFace
- Databases & Vector DBs: Qdrant, PostgreSQL, Redis
- Deployment: Docker
Why Work With Me?
- Production-ready, clean, and scalable code architecture.
- Deep understanding of prompt engineering and vector embeddings.
- Clear communication and fast delivery.
Let's turn your data into a smart assistant! Please message me before ordering.
Conoce a Mohammed Ahmed
Mohammed Ahmed
Full Stack AI Developer RAG Pipelines FastAPI Nextjs and Expo
- DeEtiopía
- Miembro desdemar 2026
- Responde aprox. en:1 hora
Idiomas
Amárico, Inglés
I’m a full stack developer focused on building modern, scalable web applications.
I work with Next.js, TypeScript, Node.js, and Express to create fast and reliable systems. I’ve built real-world projects including e-commerce platforms, real-time chat apps, CRM app and secure authentication systems using Firebase and JWT.
I enjoy solving problems, fixing bugs, and improving application performance. Whether it’s frontend issues, backend logic, or API integration, I aim to keep solutions clean and easy to maintain.
I’m always open to discussing new ideas or helping improve existing projects.
FAQ
Can you integrate with my website ?
Yes, I can provide an API or integrate the chatbot into an exiting web application.
What documents can be used ?
PDFs, text files, documentation, knowledge bases, and structured content.
Which AI models can be used ?
OpenAI, Grok, local model, and other compatible providers depending on project requirements.
Can this bot show where it found its answers?
Yes! I implement source-aware metadata retrieval. Every response can include the exact document title and section it referenced to prevent hallucinations.
