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I will build ai apps using openai, rag, langchain and fastapi
Vanshika
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About this gig
Need an AI application that goes beyond simple prompts and actually solves business problems?
I build production-ready AI applications using OpenAI, LangChain, RAG pipelines, vector databases, and FastAPI.
Services include:
- AI Chatbots and AI Assistants
- RAG and Knowledge Base Systems
- Document Processing and Q&A Systems
- Workflow Automation
- Custom LLM Applications
- API Development with FastAPI
- Vector Database Integration
- OpenAI API Integration
- AI Agents and Multi-Agent Systems
Tech Stack:
- OpenAI
- LangChain
- FastAPI
- Python
- ChromaDB / Pinecone
- PostgreSQL / MongoDB
- Azure Cloud
- REST APIs
I focus on building scalable, maintainable, and production-ready solutions that can be deployed and used by real customers.
Before placing an order, please contact me to discuss your requirements so I can recommend the best solution for your project.
Get to know Vanshika
Vanshika
Solution builder with expertise in full stack, backend, and AI ML
- FromIndia
- Member sinceJul 2026
- Avg. response time3 hours
Languages
English, Hindi, Italian
Software Engineer building production-ready backend, AI, cloud, and full-stack solutions. Experienced with Java, Python, FastAPI, Flask, React, MS Azure, PostgreSQL, TypeScript, MongoDB, OpenAI APIs, RAG, and ML. Built enterprise identity verification systems, AI analytics platforms, and intelligent automation workflows. I help businesses turn ideas into scalable software, APIs, AI features, and cloud applications that are reliable, maintainable, and ready for real users.
My Portfolio
FAQ
What types of AI applications can you build?
I develop AI chatbots, RAG systems, document Q&A tools, workflow automations, AI assistants, recommendation systems, and custom LLM applications using OpenAI, LangChain, FastAPI, and vector databases.
Which AI models and technologies do you work with?
I work with OpenAI models, embeddings, LangChain, RAG pipelines, vector databases, FastAPI, Flask, PostgreSQL, MongoDB, and cloud platforms such as Azure.
Can you integrate AI into my existing application?
Yes. I can integrate AI features into your existing web application, backend service, CRM, internal tool, or SaaS product through APIs and custom integrations.
Do you provide deployment support?
Yes. I can assist with deployment on cloud platforms such as Azure, AWS, Render, or Docker-based environments depending on project requirements.
What do you need from me before starting?
A brief project description, desired features, preferred technology stack (if any), existing codebase access if applicable, and examples of expected behavior or outputs.
Can you build custom RAG or knowledge base chatbots?
Yes. I specialize in Retrieval-Augmented Generation (RAG) systems that can answer questions from PDFs, documents, websites, databases, and internal company knowledge bases.
Will I receive source code and documentation?
Yes. All deliverables include clean source code, and documentation can be included depending on the selected package or as an additional service.
Do you sign NDAs or work on confidential projects?
Yes. I understand the importance of confidentiality and can work under NDAs for sensitive business projects.
Can you train my team to use the AI solution?
Yes. Training sessions and onboarding documentation can be provided as an additional service.
What if I'm not sure about the technical requirements?
That's completely fine. Share your business problem or idea, and I can help translate it into a practical technical solution and recommend the right architecture.
